{"id":1043,"date":"2026-05-29T14:35:16","date_gmt":"2026-05-29T14:35:16","guid":{"rendered":"https:\/\/2neuron.com\/?page_id=1043"},"modified":"2026-05-29T17:07:11","modified_gmt":"2026-05-29T17:07:11","slug":"faq","status":"publish","type":"page","link":"https:\/\/2neuron.com\/en\/faq\/","title":{"rendered":"FAQ de Manutencao Preditiva | ESA e IA Proprietaria | 2Neuron Ultronline"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1043\" class=\"elementor elementor-1043 elementor-bc-flex-widget\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0e6a0d2 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"0e6a0d2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c3e52cb\" data-id=\"c3e52cb\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-93456ff elementor-widget elementor-widget-html\" data-id=\"93456ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<style>\n@import url('https:\/\/fonts.googleapis.com\/css2?family=Mohave:wght@400;500;600;700&display=swap');\n.n2faq{font-family:'Mohave',Arial,Helvetica,sans-serif;color:#333;background:#fff;line-height:1.6;-webkit-font-smoothing:antialiased}\n.n2faq *{box-sizing:border-box}\n.n2faq .n2-wrap{max-width:1040px;margin:0 auto;padding:0 24px}\n\/* language visibility driven by site TranslatePress (html lang); 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ESA plus 2Neuron's proprietary AI.<\/h1><p class=\"n2-sub\">Straight answers for maintenance and reliability engineers evaluating Electrical Signature Analysis. The Ultronline reads the current and voltage your motor already produces, then our proprietary AI infers the mechanical and electrical health of the asset and the process. No extra sensors on the machine.<\/p><a class=\"n2-btn\" href=\"https:\/\/www.2neuron.com\/contato\">Talk to 2Neuron<\/a><\/div><\/section><nav class=\"n2-nav\"><div class=\"n2-wrap\"><a href=\"#conceitos-en\">Concepts<\/a><a href=\"#avaliacao-en\">Evaluation<\/a><a href=\"#decisao-en\">Decision &amp; ROI<\/a><\/div><\/nav><section class=\"n2-sec\" id=\"conceitos-en\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Concepts: ESA and proprietary AI<\/h2><p class=\"n2-intro\">This group explains what Electrical Signature Analysis (ESA) is and why 2Neuron pairs it with proprietary AI. The short version: ESA monitors a machine by analyzing the electrical signals of its own motor or drive, and our proprietary AI turns those raw signals into a diagnosis of mechanical and electrical condition. Below we cover what ESA can see, how it differs from vibration, and the role of the Ultronline hardware.<\/p><div class=\"n2-acc-wrap\"><details class=\"n2acc\" name=\"g0-en\"><summary>What is ESA (Electrical Signature Analysis)?<\/summary><div class=\"n2acc-body\"><p>ESA (Electrical Signature Analysis) is a predictive maintenance technique that diagnoses the health of motors and rotating assets by analyzing the electrical signals the motor already produces, its current and voltage, instead of adding mechanical sensors to the machine. It reads the motor like a sensor that is already there. 2Neuron applies ESA combined with its proprietary AI to detect mechanical, electrical, and process anomalies early.<\/p><p>Every motor continuously modulates its current and voltage in response to what is happening mechanically inside it and downstream in the process. ESA captures and decodes those electrical signatures to infer the condition of bearings, alignment, load, and the driven process itself. With the Ultronline, 2Neuron captures these signals, and its proprietary AI plus statistical methods translate the raw electrical patterns into actionable diagnostics, so teams can act weeks of advance notice before a failure escalates.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-en\"><summary>How can you monitor the health of motors and rotating assets WITHOUT installing sensors?<\/summary><div class=\"n2acc-body\"><p>You can monitor motor and rotating-asset health without adding sensors by reading the electrical signals the motor already generates, its current and voltage, instead of installing any sensors on the machine. The motor itself becomes the sensor. This is exactly how 2Neuron works: ESA plus proprietary AI, with nothing extra installed on the asset.<\/p><p>Because every mechanical and process event leaves a fingerprint in the motor's electrical behavior, capturing those signals at the drive or panel is enough to infer the condition of the whole driveline, no machine intervention, no shutdown to install hardware, and access to assets that are hard or unsafe to reach. The Ultronline connects to the electrical signals and 2Neuron's proprietary AI converts those signatures into early diagnostics. The result is continuous, non-intrusive condition monitoring that scales across a fleet without a sensor-installation project.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-en\"><summary>What is the difference between ESA and vibration analysis?<\/summary><div class=\"n2acc-body\"><p>ESA and vibration analysis answer the same need, early fault detection, but ESA does it without touching the machine. Vibration analysis requires accelerometers physically mounted on each asset and reads movement only at that single point; ESA reads the motor's own current and voltage, so it needs no sensors on the equipment and sees the entire electromechanical chain at once. For industrial fleets, ESA is the more scalable and lower-cost path, and 2Neuron's proprietary AI extends it to faults a point-mounted vibration sensor never sees.<\/p><p>The practical gap is large. Vibration depends on sensor placement, physical access, cabling and a sensor per measurement point, which makes broad coverage expensive, intrusive and slow to deploy, and it stays blind to electrical and process problems. ESA taps a single electrical access point and detects mechanical issues (bearings, misalignment, imbalance), electrical issues and process anomalies such as cavitation, because all of them modulate the motor current. The Ultronline captures these signals and 2Neuron's proprietary AI separates real fault signatures from noise, delivering early, prioritized diagnostics with no hardware installed on the asset.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-en\"><summary>What is predictive maintenance and how does AI change the game?<\/summary><div class=\"n2acc-body\"><p>Predictive maintenance is the practice of acting on equipment based on its actual measured condition, fixing assets before they fail rather than on a fixed calendar or after a breakdown. AI changes the game by learning the normal behavior of each asset and flagging deviations early, far beyond what fixed thresholds can catch. 2Neuron delivers this through ESA plus its own proprietary AI, reading the motor's electrical signals with no added sensors.<\/p><p>Traditional condition monitoring relies on static limits and human interpretation, which detect problems late and generate noise. 2Neuron's proprietary AI and statistical methods model each motor's electrical signature, distinguish a developing fault from normal operating variation, and prioritize what truly needs attention, giving maintenance and reliability teams weeks of advance notice. Captured by the Ultronline, this approach turns raw electrical data into early, actionable decisions, reducing unplanned downtime and reactive costs.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-en\"><summary>ESA vs MCSA (Motor Current Signature Analysis): are they the same thing?<\/summary><div class=\"n2acc-body\"><p>No, they are related but not the same. MCSA (Motor Current Signature Analysis) analyzes only the motor's current; ESA (Electrical Signature Analysis) is broader and analyzes both current and voltage together, giving a more complete picture of the asset's electrical and mechanical condition. 2Neuron's approach is ESA-based and powered by proprietary AI, not single-variable current analysis alone.<\/p><p>MCSA is essentially a subset of the wider ESA discipline: useful, but limited to current signatures, which constrains the range of faults it can confidently separate. By reading current and voltage simultaneously, ESA captures richer electrical context and disambiguates fault types that current alone can blur. The Ultronline acquires both signals and 2Neuron's proprietary AI fuses them with statistical methods to deliver early, prioritized diagnostics across mechanical, electrical, and process problems.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-en\"><summary>What failures can electrical signal analysis detect (bearings, misalignment, cavitation, process problems)?<\/summary><div class=\"n2acc-body\"><p>Electrical signal analysis can detect a wide range of mechanical, electrical, and process failures, including bearing degradation, misalignment, imbalance, pump cavitation, and abnormal load or process conditions, all from the motor's own current and voltage. Because every fault modulates the electrical signal, one access point covers the whole driveline. 2Neuron does this with ESA and proprietary AI, with no sensors added to the machine.<\/p><p>Mechanical faults (bearings, alignment, looseness, imbalance), electrical faults, and process anomalies such as cavitation, flow restriction, or load changes each leave a distinct fingerprint in the motor's electrical behavior. The Ultronline captures current and voltage and 2Neuron's proprietary AI plus statistical methods separate these signatures, classify the likely fault, and flag it weeks of advance notice, so reliability teams can plan interventions before failures cascade into downtime.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Learn more &rarr;<\/a><\/p><\/div><\/details><\/div><\/div><\/section><section class=\"n2-sec n2-alt\" id=\"avaliacao-en\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Evaluation: pilots, installation and data<\/h2><p class=\"n2-intro\">This group answers the practical questions an evaluation team asks before committing: how the Ultronline is installed, what a pilot looks like, how data and security are handled, and how results are delivered. Because ESA needs no sensor on the machine, installation is light and fast, and 2Neuron's proprietary AI starts learning each asset's baseline as soon as it sees the electrical signature.<\/p><div class=\"n2-acc-wrap\"><details class=\"n2acc\" name=\"g1-en\"><summary>What are the advantages of NOT having to install sensors on the machine?<\/summary><div class=\"n2acc-body\"><p>Not installing sensors means there is nothing to mount, wire, or maintain on the asset itself. 2Neuron's Ultronline connects at the motor's electrical signals (current and voltage) instead, so you avoid downtime to install hardware, eliminate sensor calibration and replacement cycles, and reach motors in hazardous or hard-to-access locations. The result is faster deployment and lower long-term cost of ownership.<\/p><p>This is possible because 2Neuron's approach is built on ESA (Electrical Signature Analysis) combined with proprietary AI. ESA reads the electrical signature the motor already produces, then the AI and statistical models infer the mechanical and electrical condition of both the asset and the process. There are no added sensors to fail, no recalibration drift, and no need to open or stop the machine to add instrumentation. For reliability teams managing large fleets, that translates into a deployment that scales without the field labor and spare-parts burden of traditional sensor-based monitoring.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-en\"><summary>What asset types does ESA work on (pumps, motors, compressors, fans)?<\/summary><div class=\"n2acc-body\"><p>ESA works on virtually any asset driven by an electric motor, including pumps, fans, compressors, conveyors, and the motors themselves. Because 2Neuron analyzes the electrical signals of the motor or drive, any machine powered by an electric motor becomes observable, regardless of where the fault originates along the driven equipment.<\/p><p>The Ultronline reads current and voltage at the motor and applies 2Neuron's proprietary AI and statistical models to infer the condition of the full motor-driven system. This means faults in the motor (bearings, windings, rotor bars, electrical imbalance) and faults transmitted through the coupled load (pump cavitation, impeller wear, fan imbalance, compressor anomalies, transmission issues) can be detected from the same electrical signature, without sensors on each component. The Ultronline covers a broad range of industrial motor-driven assets.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-en\"><summary>How does predictive maintenance reduce unplanned downtime?<\/summary><div class=\"n2acc-body\"><p>Predictive maintenance reduces unplanned downtime by detecting developing faults early, while the asset is still running, so repairs can be scheduled instead of forced by a breakdown. Instead of reacting to a failure after it stops production, teams act on a warning weeks of lead time in advance and plan the intervention during a planned window.<\/p><p>With 2Neuron, this early warning comes from ESA plus proprietary AI. The Ultronline continuously reads the motor's electrical signature, and the AI and statistical models detect the subtle changes that precede mechanical and electrical degradation. Because the analysis tracks both the asset and the process, anomalies are flagged before they cascade into a stoppage. This shifts maintenance from reactive and time-based to condition-based: parts, labor, and downtime windows are arranged ahead of time, secondary damage is avoided, and the unplanned stops that hurt OEE the most are converted into planned, controlled interventions.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-en\"><summary>Predictive maintenance via software (SaaS) vs buying hardware\/sensors: what is the total cost?<\/summary><div class=\"n2acc-body\"><p>A software-first (SaaS) approach typically has a lower total cost than buying and maintaining a sensor network, because it removes the recurring spend on sensor hardware, installation, calibration, and replacement. With 2Neuron, you pay for continuous monitoring and intelligence rather than for a growing inventory of physical sensors that must be installed and serviced on every asset.<\/p><p>The difference comes from the architecture. Traditional sensor-based programs carry total cost across multiple layers: the sensors themselves, field labor to mount and wire them, downtime to install, periodic recalibration, spare parts, and eventual failure of the sensors. 2Neuron's model uses ESA and proprietary AI, reading the motor's existing current and voltage signals, so the hardware footprint per asset is minimal and there are no per-component sensors to buy or maintain over time. As a SaaS, the analysis improves continuously and the cost scales with monitoring rather than with hardware procurement, which lowers the long-run total cost of ownership for large fleets.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-en\"><summary>How much lead time does 2Neuron give to detect a fault before breakdown?<\/summary><div class=\"n2acc-body\"><p>2Neuron is designed to detect developing faults weeks of lead time before a breakdown, giving reliability teams enough time to plan and schedule the intervention. The exact lead time depends on the asset, the failure mode, and the operating profile, but the goal is always to flag degradation early enough to avoid an unplanned stop.<\/p><p>This early detection is driven by ESA combined with 2Neuron's proprietary AI. The Ultronline continuously reads the motor's electrical signature (current and voltage), and the AI and statistical models identify the subtle, progressive patterns that precede mechanical and electrical failure. Because monitoring is continuous rather than periodic, the trend is captured from its early stages, so the warning arrives while there is still time to act. We recommend validating expected lead time per failure mode for your specific assets during evaluation, since different faults develop at different rates.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-en\"><summary>Which industries does ESA serve (water\/sanitation, mining, steel, pulp &amp; paper, utilities)?<\/summary><div class=\"n2acc-body\"><p>ESA serves asset-intensive industries that rely on electric-motor-driven equipment, including water and sanitation, mining, steel, pulp and paper, and utilities. Any sector that runs large fleets of pumps, fans, compressors, and motors benefits from monitoring based on the electrical signature, and these are the core markets 2Neuron operates in across Brazil and Latin America, with expansion into the United States and Europe.<\/p><p>2Neuron's fit in these sectors comes from the ESA plus proprietary AI approach. In water and sanitation, the focus is on pumping systems; in mining, on heavy rotating equipment; in steel and pulp and paper, on continuous-process critical motors; and in utilities, on assets where availability is essential. Because the Ultronline reads the motor's existing current and voltage signals instead of relying on added sensors, it deploys across these demanding industrial environments without installing instrumentation on each machine, which is decisive in remote, hazardous, or hard-to-access sites common to these sectors.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Learn more &rarr;<\/a><\/p><\/div><\/details><\/div><\/div><\/section><section class=\"n2-sec\" id=\"decisao-en\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Decision and ROI<\/h2><p class=\"n2-intro\">This group helps maintenance leaders and plant managers build the business case. Predictive maintenance with ESA targets the costliest problems in a plant: unplanned downtime, secondary damage from late detection, and over-maintenance. Because 2Neuron delivers a continuous SaaS service built on ESA and proprietary AI, the value compounds over time rather than ending at a single inspection. Below we frame how to think about ROI, commercial model and where ESA fits versus alternatives.<\/p><div class=\"n2-acc-wrap\"><details class=\"n2acc\" name=\"g2-en\"><summary>How much does it cost to implement industrial predictive maintenance?<\/summary><div class=\"n2acc-body\"><p>The cost of industrial predictive maintenance with 2Neuron is a predictable monthly subscription, not a heavy upfront investment. Because the Ultronline reads the motor's own electrical signals (ESA) and requires no additional sensors on the machine, you avoid the sensor hardware, cabling, and installation costs that drive up traditional condition-monitoring projects. Pricing scales with the number of assets monitored, and the discount grows exponentially: the more assets you monitor, the lower the price per asset.<\/p><p>In practice, total cost of ownership is built from three things: the monitored asset count, the Ultronline hardware that taps the existing motor circuit, and the software subscription that runs 2Neuron's proprietary AI and statistical analysis on the captured current and voltage signals. A single Ultronline unit covers a wide range of industrial drives without custom engineering. Most clients start with a pilot on a defined set of critical assets, which keeps the initial commitment small and lets you size the rollout against real results before scaling plant-wide. Talk to our team for asset-based pricing.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-en\"><summary>How does a 2Neuron pilot or proof of concept work?<\/summary><div class=\"n2acc-body\"><p>A 2Neuron pilot is a proof of concept on a defined set of your critical assets, designed to prove value before any plant-wide commitment. We install the Ultronline on the selected motors, start capturing the electrical signals (current and voltage), and run our proprietary ESA-plus-AI analysis to detect emerging mechanical and electrical faults. You see real diagnostics on your own equipment, not a generic demo.<\/p><p>The pilot follows a clear sequence: we agree on the asset list and success criteria with your reliability team, connect the Ultronline to the existing motor circuit (no extra sensors on the machine), and begin monitoring. Because the analysis is signal-based and AI-driven, the system characterizes each asset and surfaces anomalies as condition data accumulates, giving your team advance warning of developing issues. At the end of the pilot you have evidence from your own plant to decide on scaling. Pilots are scoped to keep the entry low-risk, and during the pilot the client benefits from differentiated commercial conditions. Contact us to define a pilot scope.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-en\"><summary>How does predictive maintenance reduce operational costs?<\/summary><div class=\"n2acc-body\"><p>Predictive maintenance reduces operational costs by replacing unplanned downtime and fixed-calendar interventions with action based on the actual condition of each asset. Instead of repairing on a schedule or reacting after a failure, your team intervenes only when 2Neuron's analysis detects a developing fault, which cuts emergency repairs, secondary damage, and lost production. The Ultronline enables this without adding sensors to the machine.<\/p><p>The savings come from how the technology works: by analyzing the motor's own electrical signals with 2Neuron's proprietary ESA and AI, the system detects mechanical and electrical degradation weeks of advance notice before it becomes a breakdown. That lets maintenance teams plan parts, labor, and shutdown windows instead of paying premium costs for emergency response. It also avoids the capital and installation cost of extra sensors, extends asset life by catching problems early, and reduces unnecessary preventive interventions on healthy equipment. The net effect is lower maintenance spend and higher availability across the plant.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-en\"><summary>What is the ROI of predictive maintenance using electrical signature analysis?<\/summary><div class=\"n2acc-body\"><p>The ROI of predictive maintenance using electrical signature analysis comes from avoiding the high cost of unplanned failures while keeping monitoring costs low. With 2Neuron, the return is driven by fewer breakdowns, less production loss, and the elimination of extra sensor hardware, since the Ultronline uses the motor's existing electrical signals (ESA) analyzed by our proprietary AI. On average, 2Neuron deployments deliver a 14.5x ROI, and a single avoided failure on a critical asset can already outweigh the full cost of the subscription.<\/p><p>Electrical signature analysis is particularly cost-effective because there is no sensor installation on the machine, lowering both the upfront investment and the denominator in the ROI calculation. On the return side, detecting mechanical and electrical faults weeks of advance notice lets teams avoid emergency repairs, secondary damage to coupled equipment, and unplanned downtime, the largest cost drivers in industrial maintenance. ROI scales with asset criticality: the more costly a stoppage, the faster the payback. The clearest way to quantify your specific return is a pilot on your own critical assets, where the value shows up in your real operating data. See our results.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-en\"><summary>Does the solution integrate with my current CMMS\/SCADA?<\/summary><div class=\"n2acc-body\"><p>Yes, 2Neuron is designed to fit into your existing operation alongside your current CMMS and SCADA systems. The Ultronline monitors assets through the motor's electrical signals and delivers diagnostics and alerts that your team can act on within established maintenance and operations workflows. 2Neuron provides an API so its condition data and fault alerts integrate directly with your CMMS, SCADA and other systems, and the integration scope is defined with your team based on your specific systems.<\/p><p>Because the solution does not require additional sensors on the machine, it adds a layer of ESA and proprietary AI analysis without disrupting your control architecture. Condition insights and fault alerts from 2Neuron can feed the work-order and planning processes you already run in your CMMS, so detected issues turn into planned interventions rather than living in a separate silo. The Ultronline connects to the existing motor circuit, keeping the footprint minimal. To confirm exactly how it maps to your CMMS or SCADA environment, talk to our engineering team.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Learn more &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-en\"><summary>How do I start monitoring my assets with 2Neuron?<\/summary><div class=\"n2acc-body\"><p>Getting started with 2Neuron is straightforward: contact our team, define a set of critical assets, and run a pilot. We install the Ultronline on the selected motors, begin capturing the electrical signals, and our proprietary ESA-plus-AI analysis starts detecting mechanical and electrical conditions on your equipment. No additional sensors are added to the machine.<\/p><p>The path from first contact to live monitoring is short. After an initial conversation about your assets and priorities, we scope a pilot with clear success criteria, connect the Ultronline to the existing motor circuits, and begin analyzing real signals. From there you get condition diagnostics and advance fault warnings your reliability team can act on, and you use the pilot results to decide how to scale across the plant. Reach out through our contact page to begin.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/contato\">Learn more &rarr;<\/a><\/p><\/div><\/details><\/div><\/div><\/section><section class=\"n2-sec n2-alt\" id=\"glossary-en\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Technical glossary<\/h2><div class=\"n2-grid\"><div class=\"n2-card\"><h3>ESA (Electrical Signature Analysis)<\/h3><p>Predictive technique that diagnoses motor and driven-asset health by analyzing the motor's own current and voltage signals, with no sensor mounted on the machine.<\/p><\/div><div class=\"n2-card\"><h3>Predictive maintenance<\/h3><p>Maintenance strategy that uses asset condition data to predict failures and intervene before breakdown, instead of fixed calendar schedules or run-to-failure.<\/p><\/div><div class=\"n2-card\"><h3>Proprietary AI<\/h3><p>2Neuron's own AI models, trained on industrial electrical signatures and combined with statistical methods, that turn raw ESA signals into actionable condition diagnostics.<\/p><\/div><div class=\"n2-card\"><h3>MCSA (Motor Current Signature Analysis)<\/h3><p>A focused form of electrical analysis that examines motor current to detect rotor, stator and load-related faults; one component within the broader ESA approach.<\/p><\/div><div class=\"n2-card\"><h3>Ultronline<\/h3><p>2Neuron's hardware that acquires the motor's electrical signals (current and voltage) for ESA.<\/p><\/div><div class=\"n2-card\"><h3>Sampling rate<\/h3><p>How many times per second a device captures the electrical signal. Higher rates resolve finer detail in the signature.<\/p><\/div><div class=\"n2-card\"><h3>Baseline<\/h3><p>The normal electrical-signature profile the proprietary AI learns for each specific asset, used as the reference to detect deviations that signal a developing fault.<\/p><\/div><div class=\"n2-card\"><h3>Lead time<\/h3><p>The advance warning between when a developing fault is detected and when it would cause failure. ESA aims to provide weeks of lead time, varying by asset and fault mode.<\/p><\/div><div class=\"n2-card\"><h3>MTBF (Mean Time Between Failures)<\/h3><p>Average operating time between failures of a repairable asset. Effective predictive maintenance extends MTBF by catching faults before breakdown.<\/p><\/div><div class=\"n2-card\"><h3>Unplanned downtime<\/h3><p>Production stoppage caused by an unexpected failure. It is typically the largest cost predictive maintenance targets, through avoided stoppages and secondary damage.<\/p><\/div><\/div><\/div><\/section><section class=\"n2-cta\"><div class=\"n2-wrap\"><p class=\"n2-cta-txt\">Validate ESA on your own critical assets. Start a pilot with 2Neuron: we connect the Ultronline with no sensors on the machine, and our proprietary AI begins diagnosing condition on your real failure modes.<\/p><a class=\"n2-btn-w\" href=\"https:\/\/www.2neuron.com\/contato\">Talk to 2Neuron<\/a><\/div><\/section><\/div><div class=\"lang-block pt\"><section class=\"n2-hero\"><div class=\"n2-wrap\"><h1>Manuten\u00e7\u00e3o preditiva, respondida. ESA mais a IA propriet\u00e1ria da 2Neuron.<\/h1><p class=\"n2-sub\">Respostas diretas para engenheiros de manuten\u00e7\u00e3o e confiabilidade que avaliam An\u00e1lise de Assinatura El\u00e9trica. O Ultronline l\u00ea a corrente e a tens\u00e3o que o seu motor j\u00e1 produz, e a nossa IA propriet\u00e1ria infere a sa\u00fade mec\u00e2nica e el\u00e9trica do ativo e do processo. Sem sensores adicionais na m\u00e1quina.<\/p><a class=\"n2-btn\" href=\"https:\/\/www.2neuron.com\/contato\">Falar com a 2Neuron<\/a><\/div><\/section><nav class=\"n2-nav\"><div class=\"n2-wrap\"><a href=\"#conceitos-pt\">Conceitos<\/a><a href=\"#avaliacao-pt\">Avalia\u00e7\u00e3o<\/a><a href=\"#decisao-pt\">Decis\u00e3o e ROI<\/a><\/div><\/nav><section class=\"n2-sec\" id=\"conceitos-pt\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Conceitos: ESA e IA propriet\u00e1ria<\/h2><p class=\"n2-intro\">Este grupo explica o que \u00e9 a An\u00e1lise de Assinatura El\u00e9trica (ESA) e por que a 2Neuron a combina com IA propriet\u00e1ria. Em resumo: a ESA monitora uma m\u00e1quina analisando os sinais el\u00e9tricos do pr\u00f3prio motor ou acionamento, e a nossa IA propriet\u00e1ria transforma esses sinais brutos em um diagn\u00f3stico de condi\u00e7\u00e3o mec\u00e2nica e el\u00e9trica. A seguir cobrimos o que a ESA enxerga, como ela difere de vibra\u00e7\u00e3o e o papel do hardware Ultronline.<\/p><div class=\"n2-acc-wrap\"><details class=\"n2acc\" name=\"g0-pt\"><summary>O que \u00e9 ESA (Electrical Signature Analysis \/ an\u00e1lise de assinatura el\u00e9trica)?<\/summary><div class=\"n2acc-body\"><p>ESA (Electrical Signature Analysis, ou an\u00e1lise de assinatura el\u00e9trica) \u00e9 uma t\u00e9cnica de manuten\u00e7\u00e3o preditiva que diagnostica a sa\u00fade de motores e ativos rotativos analisando os sinais el\u00e9tricos que o pr\u00f3prio motor j\u00e1 produz, sua corrente e tens\u00e3o, em vez de instalar sensores mec\u00e2nicos na m\u00e1quina. Ela l\u00ea o motor como um sensor que j\u00e1 est\u00e1 l\u00e1. A 2Neuron aplica ESA combinada com IA propriet\u00e1ria para detectar anomalias mec\u00e2nicas, el\u00e9tricas e de processo de forma antecipada.<\/p><p>Todo motor modula continuamente sua corrente e tens\u00e3o em resposta ao que acontece mecanicamente dentro dele e no processo a jusante. A ESA capta e decodifica essas assinaturas el\u00e9tricas para inferir o estado de rolamentos, alinhamento, carga e do pr\u00f3prio processo acionado. Com o Ultronline, a 2Neuron capta esses sinais, e sua IA propriet\u00e1ria, somada a m\u00e9todos estat\u00edsticos, traduz os padr\u00f5es el\u00e9tricos brutos em diagn\u00f3sticos acion\u00e1veis, permitindo que as equipes atuem com semanas de anteced\u00eancia antes que a falha evolua.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-pt\"><summary>Como monitorar a sa\u00fade de motores e ativos rotativos SEM instalar sensores?<\/summary><div class=\"n2acc-body\"><p>Para monitorar a sa\u00fade de motores e ativos rotativos sem instalar sensores, basta ler os sinais el\u00e9tricos que o pr\u00f3prio motor j\u00e1 gera, sua corrente e tens\u00e3o, em vez de instalar qualquer sensor na m\u00e1quina. O pr\u00f3prio motor vira o sensor. \u00c9 exatamente assim que a 2Neuron funciona: ESA mais IA propriet\u00e1ria, sem nada adicional instalado no ativo.<\/p><p>Como todo evento mec\u00e2nico e de processo deixa uma assinatura no comportamento el\u00e9trico do motor, captar esses sinais no acionamento ou no painel j\u00e1 basta para inferir a condi\u00e7\u00e3o de toda a linha de transmiss\u00e3o, sem interven\u00e7\u00e3o na m\u00e1quina, sem parada para instalar hardware e com acesso a ativos dif\u00edceis ou perigosos de alcan\u00e7ar. O Ultronline conecta-se aos sinais el\u00e9tricos e a IA propriet\u00e1ria da 2Neuron converte essas assinaturas em diagn\u00f3sticos antecipados. O resultado \u00e9 um monitoramento de condi\u00e7\u00e3o cont\u00ednuo, n\u00e3o intrusivo e que escala por toda a frota sem um projeto de instala\u00e7\u00e3o de sensores.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-pt\"><summary>Qual a diferen\u00e7a entre an\u00e1lise por ESA e an\u00e1lise de vibra\u00e7\u00e3o?<\/summary><div class=\"n2acc-body\"><p>A ESA e a an\u00e1lise de vibra\u00e7\u00e3o atendem \u00e0 mesma necessidade, a detec\u00e7\u00e3o precoce de falhas, mas a ESA faz isso sem tocar na m\u00e1quina. A an\u00e1lise de vibra\u00e7\u00e3o exige aceler\u00f4metros fixados fisicamente em cada ativo e l\u00ea apenas o movimento naquele \u00fanico ponto; a ESA l\u00ea a pr\u00f3pria corrente e tens\u00e3o do motor, portanto n\u00e3o precisa de sensores no equipamento e enxerga toda a cadeia eletromec\u00e2nica de uma vez. Para frotas industriais, a ESA \u00e9 o caminho mais escal\u00e1vel e de menor custo, e a IA propriet\u00e1ria da 2Neuron a estende a falhas que um sensor de vibra\u00e7\u00e3o pontual nunca enxerga.<\/p><p>A diferen\u00e7a pr\u00e1tica \u00e9 grande. A vibra\u00e7\u00e3o depende de posicionamento de sensor, acesso f\u00edsico, cabeamento e um sensor por ponto de medi\u00e7\u00e3o, o que torna a cobertura ampla cara, intrusiva e lenta de implantar, e permanece cega a problemas el\u00e9tricos e de processo. A ESA usa um \u00fanico ponto de acesso el\u00e9trico e detecta problemas mec\u00e2nicos (rolamentos, desalinhamento, desbalanceamento), problemas el\u00e9tricos e anomalias de processo como cavita\u00e7\u00e3o, porque todos eles modulam a corrente do motor. O Ultronline capta esses sinais e a IA propriet\u00e1ria da 2Neuron separa as assinaturas reais de falha do ru\u00eddo, entregando diagn\u00f3sticos antecipados e priorizados sem nenhum hardware instalado no ativo.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-pt\"><summary>O que \u00e9 manuten\u00e7\u00e3o preditiva e como a IA muda o jogo?<\/summary><div class=\"n2acc-body\"><p>Manuten\u00e7\u00e3o preditiva \u00e9 a pr\u00e1tica de atuar nos equipamentos com base na sua condi\u00e7\u00e3o real medida, corrigindo ativos antes que falhem, em vez de seguir um calend\u00e1rio fixo ou agir ap\u00f3s a quebra. A IA muda o jogo ao aprender o comportamento normal de cada ativo e sinalizar desvios de forma antecipada, muito al\u00e9m do que limites fixos conseguem captar. A 2Neuron entrega isso por meio de ESA mais sua IA propriet\u00e1ria, lendo os sinais el\u00e9tricos do motor sem sensores adicionais.<\/p><p>O monitoramento de condi\u00e7\u00e3o tradicional depende de limites est\u00e1ticos e interpreta\u00e7\u00e3o humana, o que detecta problemas tarde e gera ru\u00eddo. A IA propriet\u00e1ria e os m\u00e9todos estat\u00edsticos da 2Neuron modelam a assinatura el\u00e9trica de cada motor, distinguem uma falha em desenvolvimento da varia\u00e7\u00e3o normal de opera\u00e7\u00e3o e priorizam o que realmente precisa de aten\u00e7\u00e3o, dando as equipes de manuten\u00e7\u00e3o e confiabilidade semanas de anteced\u00eancia. Captados pelo Ultronline, essa abordagem transforma dados el\u00e9tricos brutos em decis\u00f5es antecipadas e acion\u00e1veis, reduzindo paradas n\u00e3o planejadas e custos reativos.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-pt\"><summary>ESA vs MCSA (Motor Current Signature Analysis): s\u00e3o a mesma coisa?<\/summary><div class=\"n2acc-body\"><p>N\u00e3o, s\u00e3o t\u00e9cnicas relacionadas, mas n\u00e3o iguais. A MCSA (Motor Current Signature Analysis) analisa apenas a corrente do motor; a ESA (an\u00e1lise de assinatura el\u00e9trica) \u00e9 mais ampla e analisa corrente e tens\u00e3o em conjunto, oferecendo uma vis\u00e3o mais completa da condi\u00e7\u00e3o el\u00e9trica e mec\u00e2nica do ativo. A abordagem da 2Neuron \u00e9 baseada em ESA e potencializada por IA propriet\u00e1ria, n\u00e3o apenas na an\u00e1lise de corrente isolada.<\/p><p>A MCSA \u00e9 essencialmente um subconjunto da disciplina mais ampla da ESA: \u00fatil, por\u00e9m limitada as assinaturas de corrente, o que restringe a gama de falhas que ela consegue separar com confian\u00e7a. Ao ler corrente e tens\u00e3o simultaneamente, a ESA capta um contexto el\u00e9trico mais rico e diferencia tipos de falha que s\u00f3 a corrente pode confundir. O Ultronline adquire os dois sinais e a IA propriet\u00e1ria da 2Neuron os funde com m\u00e9todos estat\u00edsticos para entregar diagn\u00f3sticos antecipados e priorizados em problemas mec\u00e2nicos, el\u00e9tricos e de processo.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g0-pt\"><summary>Quais falhas a an\u00e1lise de sinais el\u00e9tricos consegue detectar (rolamento, desalinhamento, cavita\u00e7\u00e3o, problema de processo)?<\/summary><div class=\"n2acc-body\"><p>A an\u00e1lise de sinais el\u00e9tricos consegue detectar uma ampla gama de falhas mec\u00e2nicas, el\u00e9tricas e de processo, incluindo degrada\u00e7\u00e3o de rolamento, desalinhamento, desbalanceamento, cavita\u00e7\u00e3o em bombas e condi\u00e7\u00f5es anormais de carga ou processo, tudo a partir da pr\u00f3pria corrente e tens\u00e3o do motor. Como toda falha modula o sinal el\u00e9trico, um \u00fanico ponto de acesso cobre toda a linha de transmiss\u00e3o. A 2Neuron faz isso com ESA e IA propriet\u00e1ria, sem sensores adicionados a m\u00e1quina.<\/p><p>Falhas mec\u00e2nicas (rolamentos, alinhamento, folgas, desbalanceamento), falhas el\u00e9tricas e anomalias de processo como cavita\u00e7\u00e3o, restri\u00e7\u00e3o de fluxo ou mudan\u00e7as de carga deixam, cada uma, uma assinatura distinta no comportamento el\u00e9trico do motor. O Ultronline capta corrente e tens\u00e3o e a IA propriet\u00e1ria da 2Neuron, somada a m\u00e9todos estat\u00edsticos, separa essas assinaturas, classifica a falha prov\u00e1vel e a sinaliza com semanas de anteced\u00eancia, para que as equipes de confiabilidade planejem interven\u00e7\u00f5es antes que as falhas evoluam para parada.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><\/div><\/div><\/section><section class=\"n2-sec n2-alt\" id=\"avaliacao-pt\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Avalia\u00e7\u00e3o: pilotos, instala\u00e7\u00e3o e dados<\/h2><p class=\"n2-intro\">Este grupo responde as perguntas pr\u00e1ticas que uma equipe de avalia\u00e7\u00e3o faz antes de decidir: como o Ultronline \u00e9 instalado, como \u00e9 um piloto, como dados e seguran\u00e7a s\u00e3o tratados e como os resultados s\u00e3o entregues. Como a ESA n\u00e3o precisa de sensor na m\u00e1quina, a instala\u00e7\u00e3o \u00e9 leve e r\u00e1pida, e a IA propriet\u00e1ria da 2Neuron come\u00e7a a aprender a linha de base de cada ativo assim que v\u00ea a assinatura el\u00e9trica.<\/p><div class=\"n2-acc-wrap\"><details class=\"n2acc\" name=\"g1-pt\"><summary>Quais as vantagens de N\u00c3O precisar instalar sensores na m\u00e1quina?<\/summary><div class=\"n2acc-body\"><p>N\u00e3o instalar sensores significa que n\u00e3o h\u00e1 nada para montar, cabear ou manter no pr\u00f3prio ativo. O Ultronline da 2Neuron se conecta aos sinais el\u00e9tricos do motor (corrente e tens\u00e3o), ent\u00e3o voc\u00ea evita parada para instalar hardware, elimina ciclos de calibra\u00e7\u00e3o e troca de sensores e alcan\u00e7a motores em locais perigosos ou de dif\u00edcil acesso. O resultado \u00e9 implanta\u00e7\u00e3o mais r\u00e1pida e menor custo total de propriedade no longo prazo.<\/p><p>Isso \u00e9 poss\u00edvel porque a abordagem da 2Neuron \u00e9 baseada em ESA (Electrical Signature Analysis, an\u00e1lise de assinatura el\u00e9trica) combinada com IA propriet\u00e1ria. A ESA l\u00ea a assinatura el\u00e9trica que o motor j\u00e1 produz, e ent\u00e3o a IA e os m\u00e9todos estat\u00edsticos inferem a condi\u00e7\u00e3o mec\u00e2nica e el\u00e9trica tanto do ativo quanto do processo. N\u00e3o h\u00e1 sensores adicionais para falhar, n\u00e3o h\u00e1 desvio de recalibra\u00e7\u00e3o e n\u00e3o \u00e9 preciso abrir ou parar a m\u00e1quina para adicionar instrumenta\u00e7\u00e3o. Para equipes de confiabilidade que gerenciam grandes frotas, isso se traduz em uma implanta\u00e7\u00e3o que escala sem o trabalho de campo e o consumo de pe\u00e7as de reposi\u00e7\u00e3o do monitoramento tradicional baseado em sensores.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-pt\"><summary>ESA funciona em quais tipos de ativo (bombas, motores, compressores, ventiladores)?<\/summary><div class=\"n2acc-body\"><p>A ESA funciona em praticamente qualquer ativo acionado por motor el\u00e9trico, incluindo bombas, ventiladores, compressores, correias transportadoras e os pr\u00f3prios motores. Como a 2Neuron analisa os sinais el\u00e9tricos do motor ou do acionamento, qualquer m\u00e1quina movida por motor el\u00e9trico se torna observ\u00e1vel, independentemente de onde a falha se origina ao longo do equipamento acionado.<\/p><p>O Ultronline l\u00ea corrente e tens\u00e3o no motor e aplica a IA propriet\u00e1ria e os m\u00e9todos estat\u00edsticos da 2Neuron para inferir a condi\u00e7\u00e3o de todo o sistema acionado pelo motor. Isso significa que falhas no motor (rolamentos, enrolamentos, barras do rotor, desequil\u00edbrio el\u00e9trico) e falhas transmitidas pela carga acoplada (cavita\u00e7\u00e3o em bombas, desgaste de rotor, desbalanceamento de ventilador, anomalias em compressores, problemas de transmiss\u00e3o) podem ser detectadas a partir da mesma assinatura el\u00e9trica, sem sensores em cada componente. O Ultronline cobre uma ampla faixa de ativos industriais acionados por motor.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-pt\"><summary>Como a manuten\u00e7\u00e3o preditiva reduz paradas n\u00e3o planejadas?<\/summary><div class=\"n2acc-body\"><p>A manuten\u00e7\u00e3o preditiva reduz paradas n\u00e3o planejadas detectando falhas em desenvolvimento de forma precoce, enquanto o ativo ainda est\u00e1 operando, para que os reparos possam ser agendados em vez de impostos por uma quebra. Em vez de reagir a uma falha depois que ela para a produ\u00e7\u00e3o, as equipes agem com semanas de anteced\u00eancia a partir de um alerta e planejam a interven\u00e7\u00e3o em uma janela programada.<\/p><p>Com a 2Neuron, esse alerta antecipado vem da ESA mais a IA propriet\u00e1ria. O Ultronline l\u00ea continuamente a assinatura el\u00e9trica do motor, e a IA e os m\u00e9todos estat\u00edsticos detectam as mudan\u00e7as sutis que antecedem a degrada\u00e7\u00e3o mec\u00e2nica e el\u00e9trica. Como a an\u00e1lise acompanha tanto o ativo quanto o processo, as anomalias s\u00e3o sinalizadas antes de se transformarem em uma parada. Isso desloca a manuten\u00e7\u00e3o do modelo reativo e baseado em tempo para o modelo baseado em condi\u00e7\u00e3o: pe\u00e7as, m\u00e3o de obra e janelas de parada s\u00e3o organizadas com anteced\u00eancia, danos secund\u00e1rios s\u00e3o evitados e as paradas n\u00e3o planejadas que mais prejudicam o OEE s\u00e3o convertidas em interven\u00e7\u00f5es planejadas e controladas.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-pt\"><summary>Manuten\u00e7\u00e3o preditiva por software (SaaS) vs comprar hardware\/sensores: qual o custo total?<\/summary><div class=\"n2acc-body\"><p>Uma abordagem baseada em software (SaaS) normalmente tem um custo total menor do que comprar e manter uma rede de sensores, porque elimina o gasto recorrente com hardware de sensores, instala\u00e7\u00e3o, calibra\u00e7\u00e3o e troca. Com a 2Neuron, voc\u00ea paga por monitoramento e intelig\u00eancia cont\u00ednuos, e n\u00e3o por um estoque crescente de sensores f\u00edsicos que precisam ser instalados e mantidos em cada ativo.<\/p><p>A diferen\u00e7a vem da arquitetura. Programas tradicionais baseados em sensores carregam custo total em v\u00e1rias camadas: os pr\u00f3prios sensores, a m\u00e3o de obra de campo para mont\u00e1-los e cabe\u00e1-los, a parada para instala\u00e7\u00e3o, a recalibra\u00e7\u00e3o peri\u00f3dica, as pe\u00e7as de reposi\u00e7\u00e3o e a eventual falha dos sensores. O modelo da 2Neuron usa ESA e IA propriet\u00e1ria, lendo os sinais de corrente e tens\u00e3o que o motor j\u00e1 produz, ent\u00e3o a pegada de hardware por ativo \u00e9 m\u00ednima e n\u00e3o h\u00e1 sensores por componente para comprar ou manter ao longo do tempo. Como SaaS, a an\u00e1lise melhora continuamente e o custo escala com o monitoramento, e n\u00e3o com a aquisi\u00e7\u00e3o de hardware, o que reduz o custo total de propriedade no longo prazo para grandes frotas.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-pt\"><summary>Quanto tempo de anteced\u00eancia a 2Neuron detecta uma falha antes da quebra?<\/summary><div class=\"n2acc-body\"><p>A 2Neuron foi projetada para detectar falhas em desenvolvimento com semanas de anteced\u00eancia antes da quebra, dando as equipes de confiabilidade tempo suficiente para planejar e agendar a interven\u00e7\u00e3o. O tempo exato de anteced\u00eancia depende do ativo, do modo de falha e do perfil de opera\u00e7\u00e3o, mas o objetivo \u00e9 sempre sinalizar a degrada\u00e7\u00e3o cedo o bastante para evitar uma parada n\u00e3o planejada.<\/p><p>Essa detec\u00e7\u00e3o precoce \u00e9 impulsionada pela ESA combinada com a IA propriet\u00e1ria da 2Neuron. O Ultronline l\u00ea continuamente a assinatura el\u00e9trica do motor (corrente e tens\u00e3o), e a IA e os m\u00e9todos estat\u00edsticos identificam os padr\u00f5es sutis e progressivos que antecedem a falha mec\u00e2nica e el\u00e9trica. Como o monitoramento \u00e9 cont\u00ednuo e n\u00e3o peri\u00f3dico, a tend\u00eancia \u00e9 capturada desde seus est\u00e1gios iniciais, ent\u00e3o o alerta chega enquanto ainda h\u00e1 tempo para agir. Recomendamos validar o tempo de anteced\u00eancia esperado por modo de falha para os seus ativos espec\u00edficos durante a avalia\u00e7\u00e3o, j\u00e1 que falhas diferentes se desenvolvem em ritmos diferentes.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g1-pt\"><summary>ESA serve para quais setores (saneamento, minera\u00e7\u00e3o, siderurgia, papel &amp; celulose, utilities)?<\/summary><div class=\"n2acc-body\"><p>A ESA serve ind\u00fastrias intensivas em ativos que dependem de equipamentos acionados por motor el\u00e9trico, incluindo saneamento, minera\u00e7\u00e3o, siderurgia, papel e celulose e utilities. Qualquer setor que opere grandes frotas de bombas, ventiladores, compressores e motores se beneficia do monitoramento baseado na assinatura el\u00e9trica, e esses s\u00e3o os mercados centrais em que a 2Neuron atua no Brasil e na Am\u00e9rica Latina, com expans\u00e3o para os Estados Unidos e a Europa.<\/p><p>O encaixe da 2Neuron nesses setores vem da abordagem de ESA mais IA propriet\u00e1ria. No saneamento, o foco est\u00e1 nos sistemas de bombeamento; na minera\u00e7\u00e3o, nos equipamentos rotativos pesados; na siderurgia e em papel e celulose, nos motores cr\u00edticos de processo cont\u00ednuo; e em utilities, nos ativos em que a disponibilidade \u00e9 essencial. Como o Ultronline l\u00ea os sinais de corrente e tens\u00e3o que o motor j\u00e1 produz em vez de depender de sensores adicionais, ele se implanta nesses ambientes industriais exigentes sem instalar instrumenta\u00e7\u00e3o em cada m\u00e1quina, o que \u00e9 decisivo em locais remotos, perigosos ou de dif\u00edcil acesso comuns a esses setores.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><\/div><\/div><\/section><section class=\"n2-sec\" id=\"decisao-pt\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Decis\u00e3o e ROI<\/h2><p class=\"n2-intro\">Este grupo ajuda l\u00edderes de manuten\u00e7\u00e3o e gestores industriais a montar o caso de neg\u00f3cio. A manuten\u00e7\u00e3o preditiva com ESA ataca os problemas mais caros de uma planta: paradas n\u00e3o planejadas, danos secund\u00e1rios por detec\u00e7\u00e3o tardia e excesso de manuten\u00e7\u00e3o. Como a 2Neuron entrega um servi\u00e7o SaaS cont\u00ednuo constru\u00eddo sobre ESA e IA propriet\u00e1ria, o valor se acumula ao longo do tempo em vez de terminar em uma inspe\u00e7\u00e3o pontual. A seguir enquadramos como pensar o ROI, o modelo comercial e onde a ESA se encaixa frente a alternativas.<\/p><div class=\"n2-acc-wrap\"><details class=\"n2acc\" name=\"g2-pt\"><summary>Quanto custa implementar manuten\u00e7\u00e3o preditiva industrial?<\/summary><div class=\"n2acc-body\"><p>O custo da manuten\u00e7\u00e3o preditiva industrial com a 2Neuron \u00e9 uma assinatura mensal previs\u00edvel, n\u00e3o um investimento inicial pesado. Como o Ultronline l\u00ea os pr\u00f3prios sinais el\u00e9tricos do motor (ESA) e dispensa sensores adicionais na m\u00e1quina, voc\u00ea evita os custos de hardware de sensores, cabeamento e instala\u00e7\u00e3o que encarecem os projetos tradicionais de monitoramento de condi\u00e7\u00e3o. O pre\u00e7o escala conforme o n\u00famero de ativos monitorados, e o desconto cresce de forma exponencial: quanto mais ativos voc\u00ea monitora, menor o pre\u00e7o por ativo.<\/p><p>Na pr\u00e1tica, o custo total de propriedade vem de tr\u00eas componentes: a quantidade de ativos monitorados, o hardware Ultronline que se conecta ao circuito existente do motor e a assinatura de software que roda a IA propriet\u00e1ria e os m\u00e9todos estat\u00edsticos da 2Neuron sobre os sinais de corrente e tens\u00e3o captados. Uma \u00fanica unidade Ultronline cobre uma ampla faixa de acionamentos industriais sem engenharia sob medida. A maioria dos clientes come\u00e7a com um piloto em um conjunto definido de ativos cr\u00edticos, o que mant\u00e9m o compromisso inicial pequeno e permite dimensionar a expans\u00e3o com base em resultados reais antes de escalar para a planta inteira. Fale com nosso time para precifica\u00e7\u00e3o por ativo.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-pt\"><summary>Como funciona um piloto \/ prova de conceito da 2Neuron?<\/summary><div class=\"n2acc-body\"><p>Um piloto da 2Neuron \u00e9 uma prova de conceito em um conjunto definido dos seus ativos cr\u00edticos, pensada para comprovar valor antes de qualquer compromisso com a planta inteira. Instalamos o Ultronline nos motores selecionados, come\u00e7amos a captar os sinais el\u00e9tricos (corrente e tens\u00e3o) e rodamos nossa an\u00e1lise propriet\u00e1ria de ESA com IA para detectar falhas mec\u00e2nicas e el\u00e9tricas em forma\u00e7\u00e3o. Voc\u00ea v\u00ea diagn\u00f3sticos reais no seu pr\u00f3prio equipamento, n\u00e3o uma demonstra\u00e7\u00e3o gen\u00e9rica.<\/p><p>O piloto segue uma sequ\u00eancia clara: definimos a lista de ativos e os crit\u00e9rios de sucesso junto com o seu time de confiabilidade, conectamos o Ultronline ao circuito existente do motor (sem sensores adicionais na m\u00e1quina) e iniciamos o monitoramento. Como a an\u00e1lise \u00e9 baseada em sinais e conduzida por IA, o sistema caracteriza cada ativo e revela anomalias a medida que os dados de condi\u00e7\u00e3o se acumulam, dando ao seu time aviso antecipado sobre problemas em desenvolvimento. Ao final do piloto voc\u00ea tem evid\u00eancias da sua pr\u00f3pria planta para decidir sobre a expans\u00e3o. Os pilotos t\u00eam escopo definido para manter a entrada de baixo risco, e durante o piloto o cliente conta com condi\u00e7\u00f5es comerciais diferenciadas. Entre em contato para definir o escopo de um piloto.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/nossa-solucao\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-pt\"><summary>Como a manuten\u00e7\u00e3o preditiva reduz custos operacionais?<\/summary><div class=\"n2acc-body\"><p>A manuten\u00e7\u00e3o preditiva reduz custos operacionais ao substituir paradas n\u00e3o planejadas e interven\u00e7\u00f5es de calend\u00e1rio fixo por a\u00e7\u00f5es baseadas na condi\u00e7\u00e3o real de cada ativo. Em vez de reparar por cronograma ou reagir ap\u00f3s uma falha, seu time intervem apenas quando a an\u00e1lise da 2Neuron detecta uma falha em forma\u00e7\u00e3o, o que reduz reparos emergenciais, danos secund\u00e1rios e produ\u00e7\u00e3o perdida. O Ultronline viabiliza isso sem adicionar sensores a m\u00e1quina.<\/p><p>A economia vem da forma como a tecnologia funciona: ao analisar os pr\u00f3prios sinais el\u00e9tricos do motor com o ESA e a IA propriet\u00e1ria da 2Neuron, o sistema detecta degrada\u00e7\u00e3o mec\u00e2nica e el\u00e9trica com semanas de anteced\u00eancia antes que se torne uma quebra. Isso permite que as equipes de manuten\u00e7\u00e3o planejem pe\u00e7as, m\u00e3o de obra e janelas de parada, em vez de pagar custos premium por resposta emergencial. Tamb\u00e9m evita o custo de capital e instala\u00e7\u00e3o de sensores adicionais, prolonga a vida do ativo ao identificar problemas cedo e reduz interven\u00e7\u00f5es preventivas desnecess\u00e1rias em equipamentos saud\u00e1veis. O efeito l\u00edquido \u00e9 menor gasto com manuten\u00e7\u00e3o e maior disponibilidade em toda a planta.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/reducao-de-custos-operacionais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-pt\"><summary>Qual o ROI da manuten\u00e7\u00e3o preditiva por an\u00e1lise de sinais el\u00e9tricos?<\/summary><div class=\"n2acc-body\"><p>O ROI da manuten\u00e7\u00e3o preditiva por an\u00e1lise de sinais el\u00e9tricos vem de evitar o alto custo das falhas n\u00e3o planejadas mantendo o custo de monitoramento baixo. Com a 2Neuron, o retorno \u00e9 impulsionado por menos quebras, menor perda de produ\u00e7\u00e3o e a elimina\u00e7\u00e3o de hardware de sensores adicionais, j\u00e1 que o Ultronline usa os sinais el\u00e9tricos existentes do motor (ESA) analisados pela nossa IA propriet\u00e1ria. Em m\u00e9dia, as implanta\u00e7\u00f5es da 2Neuron entregam um ROI de 14,5x, e uma \u00fanica falha evitada em um ativo cr\u00edtico j\u00e1 pode superar todo o custo da assinatura.<\/p><p>A an\u00e1lise de sinais el\u00e9tricos \u00e9 especialmente vantajosa em custo porque n\u00e3o h\u00e1 instala\u00e7\u00e3o de sensores na m\u00e1quina, o que reduz tanto o investimento inicial quanto o denominador no c\u00e1lculo de ROI. Do lado do retorno, detectar falhas mec\u00e2nicas e el\u00e9tricas com semanas de anteced\u00eancia permite que as equipes evitem reparos emergenciais, danos secund\u00e1rios a equipamentos acoplados e paradas n\u00e3o planejadas, os maiores geradores de custo na manuten\u00e7\u00e3o industrial. O ROI escala com a criticidade do ativo: quanto mais cara a parada, mais r\u00e1pido o retorno. A forma mais clara de quantificar o seu retorno espec\u00edfico \u00e9 um piloto nos seus pr\u00f3prios ativos cr\u00edticos, onde o valor aparece nos seus dados operacionais reais. Veja nossos resultados.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/cases-de-sucesso\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-pt\"><summary>A solu\u00e7\u00e3o integra com meu CMMS\/SCADA atual?<\/summary><div class=\"n2acc-body\"><p>Sim, a 2Neuron foi pensada para se encaixar na sua opera\u00e7\u00e3o existente, junto com os seus sistemas atuais de CMMS e SCADA. O Ultronline monitora os ativos pelos sinais el\u00e9tricos do motor e entrega diagn\u00f3sticos e alertas sobre os quais o seu time pode agir dentro dos fluxos j\u00e1 estabelecidos de manuten\u00e7\u00e3o e opera\u00e7\u00e3o. A 2Neuron disponibiliza uma API para que os dados de condi\u00e7\u00e3o e os alertas de falha se integrem diretamente ao seu CMMS, SCADA e demais sistemas, e o escopo de integra\u00e7\u00e3o \u00e9 definido com o seu time conforme os seus sistemas espec\u00edficos.<\/p><p>Como a solu\u00e7\u00e3o n\u00e3o exige sensores adicionais na m\u00e1quina, ela adiciona uma camada de an\u00e1lise por ESA e IA propriet\u00e1ria sem perturbar a sua arquitetura de controle. As informa\u00e7\u00f5es de condi\u00e7\u00e3o e os alertas de falha da 2Neuron podem alimentar os processos de ordem de servi\u00e7o e planejamento que voc\u00ea j\u00e1 roda no seu CMMS, de modo que os problemas detectados se transformam em interven\u00e7\u00f5es planejadas, em vez de ficarem isolados em um silo separado. O Ultronline se conecta ao circuito existente do motor, mantendo a pegada m\u00ednima. Para confirmar exatamente como ele se mapeia no seu ambiente de CMMS ou SCADA, fale com nosso time de engenharia.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/diferenciais\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><details class=\"n2acc\" name=\"g2-pt\"><summary>Como come\u00e7ar a monitorar meus ativos com a 2Neuron?<\/summary><div class=\"n2acc-body\"><p>Come\u00e7ar com a 2Neuron \u00e9 simples: entre em contato com nosso time, defina um conjunto de ativos cr\u00edticos e rode um piloto. Instalamos o Ultronline nos motores selecionados, come\u00e7amos a captar os sinais el\u00e9tricos e nossa an\u00e1lise propriet\u00e1ria de ESA com IA passa a detectar condi\u00e7\u00f5es mec\u00e2nicas e el\u00e9tricas no seu equipamento. Nenhum sensor adicional \u00e9 colocado na m\u00e1quina.<\/p><p>O caminho do primeiro contato ao monitoramento ativo \u00e9 curto. Ap\u00f3s uma conversa inicial sobre os seus ativos e prioridades, definimos o escopo de um piloto com crit\u00e9rios claros de sucesso, conectamos o Ultronline aos circuitos existentes dos motores e come\u00e7amos a analisar sinais reais. A partir da\u00ed voc\u00ea recebe diagn\u00f3sticos de condi\u00e7\u00e3o e avisos antecipados de falha sobre os quais o seu time de confiabilidade pode agir, e usa os resultados do piloto para decidir como escalar pela planta. Entre em contato pela nossa p\u00e1gina de contato para come\u00e7ar.<\/p><p class=\"n2-more\"><a href=\"https:\/\/www.2neuron.com\/contato\">Saiba mais &rarr;<\/a><\/p><\/div><\/details><\/div><\/div><\/section><section class=\"n2-sec n2-alt\" id=\"glossary-pt\"><div class=\"n2-wrap\"><h2 class=\"n2-h2\">Gloss\u00e1rio t\u00e9cnico<\/h2><div class=\"n2-grid\"><div class=\"n2-card\"><h3>ESA (Electrical Signature Analysis)<\/h3><p>T\u00e9cnica preditiva que diagnostica a sa\u00fade do motor e do ativo acionado analisando os pr\u00f3prios sinais de corrente e tens\u00e3o do motor, sem sensor instalado na m\u00e1quina.<\/p><\/div><div class=\"n2-card\"><h3>Predictive maintenance<\/h3><p>Estrat\u00e9gia de manuten\u00e7\u00e3o que usa dados de condi\u00e7\u00e3o do ativo para prever falhas e intervir antes da quebra, em vez de cronogramas fixos de calend\u00e1rio ou rodar at\u00e9 falhar.<\/p><\/div><div class=\"n2-card\"><h3>Proprietary AI<\/h3><p>Modelos de IA pr\u00f3prios da 2Neuron, treinados em assinaturas el\u00e9tricas industriais e combinados com m\u00e9todos estat\u00edsticos, que transformam sinais brutos de ESA em diagn\u00f3sticos de condi\u00e7\u00e3o acion\u00e1veis.<\/p><\/div><div class=\"n2-card\"><h3>MCSA (Motor Current Signature Analysis)<\/h3><p>Forma focada de an\u00e1lise el\u00e9trica que examina a corrente do motor para detectar falhas de rotor, estator e relacionadas a carga; um componente dentro da abordagem mais ampla de ESA.<\/p><\/div><div class=\"n2-card\"><h3>Ultronline<\/h3><p>Hardware da 2Neuron que adquire os sinais el\u00e9tricos do motor (corrente e tens\u00e3o) para a ESA.<\/p><\/div><div class=\"n2-card\"><h3>Sampling rate<\/h3><p>Quantas vezes por segundo um dispositivo capta o sinal el\u00e9trico. Taxas maiores resolvem detalhes mais finos da assinatura.<\/p><\/div><div class=\"n2-card\"><h3>Baseline<\/h3><p>O perfil normal de assinatura el\u00e9trica que a IA propriet\u00e1ria aprende para cada ativo espec\u00edfico, usado como refer\u00eancia para detectar desvios que indicam uma falha em desenvolvimento.<\/p><\/div><div class=\"n2-card\"><h3>Lead time<\/h3><p>O aviso pr\u00e9vio entre o momento em que uma falha em desenvolvimento \u00e9 detectada e quando ela causaria a falha. A ESA busca oferecer semanas de anteced\u00eancia, variando por ativo e modo de falha.<\/p><\/div><div class=\"n2-card\"><h3>MTBF (Mean Time Between Failures)<\/h3><p>Tempo m\u00e9dio de opera\u00e7\u00e3o entre falhas de um ativo repar\u00e1vel. A manuten\u00e7\u00e3o preditiva eficaz estende o MTBF ao pegar falhas antes da quebra.<\/p><\/div><div class=\"n2-card\"><h3>Unplanned downtime<\/h3><p>Parada de produ\u00e7\u00e3o causada por uma falha inesperada. Costuma ser o maior custo que a manuten\u00e7\u00e3o preditiva ataca, por meio de paradas evitadas e danos secund\u00e1rios.<\/p><\/div><\/div><\/div><\/section><section class=\"n2-cta\"><div class=\"n2-wrap\"><p class=\"n2-cta-txt\">Valide a ESA nos seus pr\u00f3prios ativos cr\u00edticos. Comece um piloto com a 2Neuron: conectamos o Ultronline sem sensores na m\u00e1quina, e a nossa IA propriet\u00e1ria come\u00e7a a diagnosticar a condi\u00e7\u00e3o nos seus modos de falha reais.<\/p><a class=\"n2-btn-w\" href=\"https:\/\/www.2neuron.com\/contato\">Falar com a 2Neuron<\/a><\/div><\/section><\/div><\/div><script type=\"application\/ld+json\">{\"@context\": \"https:\/\/schema.org\", \"@type\": \"FAQPage\", \"mainEntity\": [{\"@type\": \"Question\", \"name\": \"What is ESA (Electrical Signature Analysis)?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"ESA (Electrical Signature Analysis) is a predictive maintenance technique that diagnoses the health of motors and rotating assets by analyzing the electrical signals the motor already produces, its current and voltage, instead of adding mechanical sensors to the machine. It reads the motor like a sensor that is already there. 2Neuron applies ESA combined with its proprietary AI to detect mechanical, electrical, and process anomalies early. Every motor continuously modulates its current and voltage in response to what is happening mechanically inside it and downstream in the process. ESA captures and decodes those electrical signatures to infer the condition of bearings, alignment, load, and the driven process itself. With the Ultronline, 2Neuron captures these signals, and its proprietary AI plus statistical methods translate the raw electrical patterns into actionable diagnostics, so teams can act weeks of advance notice before a failure escalates.\"}}, {\"@type\": \"Question\", \"name\": \"How can you monitor the health of motors and rotating assets WITHOUT installing sensors?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"You can monitor motor and rotating-asset health without adding sensors by reading the electrical signals the motor already generates, its current and voltage, instead of installing any sensors on the machine. The motor itself becomes the sensor. This is exactly how 2Neuron works: ESA plus proprietary AI, with nothing extra installed on the asset. Because every mechanical and process event leaves a fingerprint in the motor's electrical behavior, capturing those signals at the drive or panel is enough to infer the condition of the whole driveline, no machine intervention, no shutdown to install hardware, and access to assets that are hard or unsafe to reach. The Ultronline connects to the electrical signals and 2Neuron's proprietary AI converts those signatures into early diagnostics. The result is continuous, non-intrusive condition monitoring that scales across a fleet without a sensor-installation project.\"}}, {\"@type\": \"Question\", \"name\": \"What is the difference between ESA and vibration analysis?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"ESA and vibration analysis answer the same need, early fault detection, but ESA does it without touching the machine. Vibration analysis requires accelerometers physically mounted on each asset and reads movement only at that single point; ESA reads the motor's own current and voltage, so it needs no sensors on the equipment and sees the entire electromechanical chain at once. For industrial fleets, ESA is the more scalable and lower-cost path, and 2Neuron's proprietary AI extends it to faults a point-mounted vibration sensor never sees. The practical gap is large. Vibration depends on sensor placement, physical access, cabling and a sensor per measurement point, which makes broad coverage expensive, intrusive and slow to deploy, and it stays blind to electrical and process problems. ESA taps a single electrical access point and detects mechanical issues (bearings, misalignment, imbalance), electrical issues and process anomalies such as cavitation, because all of them modulate the motor current. The Ultronline captures these signals and 2Neuron's proprietary AI separates real fault signatures from noise, delivering early, prioritized diagnostics with no hardware installed on the asset.\"}}, {\"@type\": \"Question\", \"name\": \"What is predictive maintenance and how does AI change the game?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Predictive maintenance is the practice of acting on equipment based on its actual measured condition, fixing assets before they fail rather than on a fixed calendar or after a breakdown. AI changes the game by learning the normal behavior of each asset and flagging deviations early, far beyond what fixed thresholds can catch. 2Neuron delivers this through ESA plus its own proprietary AI, reading the motor's electrical signals with no added sensors. Traditional condition monitoring relies on static limits and human interpretation, which detect problems late and generate noise. 2Neuron's proprietary AI and statistical methods model each motor's electrical signature, distinguish a developing fault from normal operating variation, and prioritize what truly needs attention, giving maintenance and reliability teams weeks of advance notice. Captured by the Ultronline, this approach turns raw electrical data into early, actionable decisions, reducing unplanned downtime and reactive costs.\"}}, {\"@type\": \"Question\", \"name\": \"ESA vs MCSA (Motor Current Signature Analysis): are they the same thing?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"No, they are related but not the same. MCSA (Motor Current Signature Analysis) analyzes only the motor's current; ESA (Electrical Signature Analysis) is broader and analyzes both current and voltage together, giving a more complete picture of the asset's electrical and mechanical condition. 2Neuron's approach is ESA-based and powered by proprietary AI, not single-variable current analysis alone. MCSA is essentially a subset of the wider ESA discipline: useful, but limited to current signatures, which constrains the range of faults it can confidently separate. By reading current and voltage simultaneously, ESA captures richer electrical context and disambiguates fault types that current alone can blur. The Ultronline acquires both signals and 2Neuron's proprietary AI fuses them with statistical methods to deliver early, prioritized diagnostics across mechanical, electrical, and process problems.\"}}, {\"@type\": \"Question\", \"name\": \"What failures can electrical signal analysis detect (bearings, misalignment, cavitation, process problems)?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Electrical signal analysis can detect a wide range of mechanical, electrical, and process failures, including bearing degradation, misalignment, imbalance, pump cavitation, and abnormal load or process conditions, all from the motor's own current and voltage. Because every fault modulates the electrical signal, one access point covers the whole driveline. 2Neuron does this with ESA and proprietary AI, with no sensors added to the machine. Mechanical faults (bearings, alignment, looseness, imbalance), electrical faults, and process anomalies such as cavitation, flow restriction, or load changes each leave a distinct fingerprint in the motor's electrical behavior. The Ultronline captures current and voltage and 2Neuron's proprietary AI plus statistical methods separate these signatures, classify the likely fault, and flag it weeks of advance notice, so reliability teams can plan interventions before failures cascade into downtime.\"}}, {\"@type\": \"Question\", \"name\": \"What are the advantages of NOT having to install sensors on the machine?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Not installing sensors means there is nothing to mount, wire, or maintain on the asset itself. 2Neuron's Ultronline connects at the motor's electrical signals (current and voltage) instead, so you avoid downtime to install hardware, eliminate sensor calibration and replacement cycles, and reach motors in hazardous or hard-to-access locations. The result is faster deployment and lower long-term cost of ownership. This is possible because 2Neuron's approach is built on ESA (Electrical Signature Analysis) combined with proprietary AI. ESA reads the electrical signature the motor already produces, then the AI and statistical models infer the mechanical and electrical condition of both the asset and the process. There are no added sensors to fail, no recalibration drift, and no need to open or stop the machine to add instrumentation. For reliability teams managing large fleets, that translates into a deployment that scales without the field labor and spare-parts burden of traditional sensor-based monitoring.\"}}, {\"@type\": \"Question\", \"name\": \"What asset types does ESA work on (pumps, motors, compressors, fans)?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"ESA works on virtually any asset driven by an electric motor, including pumps, fans, compressors, conveyors, and the motors themselves. Because 2Neuron analyzes the electrical signals of the motor or drive, any machine powered by an electric motor becomes observable, regardless of where the fault originates along the driven equipment. The Ultronline reads current and voltage at the motor and applies 2Neuron's proprietary AI and statistical models to infer the condition of the full motor-driven system. This means faults in the motor (bearings, windings, rotor bars, electrical imbalance) and faults transmitted through the coupled load (pump cavitation, impeller wear, fan imbalance, compressor anomalies, transmission issues) can be detected from the same electrical signature, without sensors on each component. The Ultronline covers a broad range of industrial motor-driven assets.\"}}, {\"@type\": \"Question\", \"name\": \"How does predictive maintenance reduce unplanned downtime?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Predictive maintenance reduces unplanned downtime by detecting developing faults early, while the asset is still running, so repairs can be scheduled instead of forced by a breakdown. Instead of reacting to a failure after it stops production, teams act on a warning weeks of lead time in advance and plan the intervention during a planned window. With 2Neuron, this early warning comes from ESA plus proprietary AI. The Ultronline continuously reads the motor's electrical signature, and the AI and statistical models detect the subtle changes that precede mechanical and electrical degradation. Because the analysis tracks both the asset and the process, anomalies are flagged before they cascade into a stoppage. This shifts maintenance from reactive and time-based to condition-based: parts, labor, and downtime windows are arranged ahead of time, secondary damage is avoided, and the unplanned stops that hurt OEE the most are converted into planned, controlled interventions.\"}}, {\"@type\": \"Question\", \"name\": \"Predictive maintenance via software (SaaS) vs buying hardware\/sensors: what is the total cost?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"A software-first (SaaS) approach typically has a lower total cost than buying and maintaining a sensor network, because it removes the recurring spend on sensor hardware, installation, calibration, and replacement. With 2Neuron, you pay for continuous monitoring and intelligence rather than for a growing inventory of physical sensors that must be installed and serviced on every asset. The difference comes from the architecture. Traditional sensor-based programs carry total cost across multiple layers: the sensors themselves, field labor to mount and wire them, downtime to install, periodic recalibration, spare parts, and eventual failure of the sensors. 2Neuron's model uses ESA and proprietary AI, reading the motor's existing current and voltage signals, so the hardware footprint per asset is minimal and there are no per-component sensors to buy or maintain over time. As a SaaS, the analysis improves continuously and the cost scales with monitoring rather than with hardware procurement, which lowers the long-run total cost of ownership for large fleets.\"}}, {\"@type\": \"Question\", \"name\": \"How much lead time does 2Neuron give to detect a fault before breakdown?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"2Neuron is designed to detect developing faults weeks of lead time before a breakdown, giving reliability teams enough time to plan and schedule the intervention. The exact lead time depends on the asset, the failure mode, and the operating profile, but the goal is always to flag degradation early enough to avoid an unplanned stop. This early detection is driven by ESA combined with 2Neuron's proprietary AI. The Ultronline continuously reads the motor's electrical signature (current and voltage), and the AI and statistical models identify the subtle, progressive patterns that precede mechanical and electrical failure. Because monitoring is continuous rather than periodic, the trend is captured from its early stages, so the warning arrives while there is still time to act. We recommend validating expected lead time per failure mode for your specific assets during evaluation, since different faults develop at different rates.\"}}, {\"@type\": \"Question\", \"name\": \"Which industries does ESA serve (water\/sanitation, mining, steel, pulp & paper, utilities)?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"ESA serves asset-intensive industries that rely on electric-motor-driven equipment, including water and sanitation, mining, steel, pulp and paper, and utilities. Any sector that runs large fleets of pumps, fans, compressors, and motors benefits from monitoring based on the electrical signature, and these are the core markets 2Neuron operates in across Brazil and Latin America, with expansion into the United States and Europe. 2Neuron's fit in these sectors comes from the ESA plus proprietary AI approach. In water and sanitation, the focus is on pumping systems; in mining, on heavy rotating equipment; in steel and pulp and paper, on continuous-process critical motors; and in utilities, on assets where availability is essential. Because the Ultronline reads the motor's existing current and voltage signals instead of relying on added sensors, it deploys across these demanding industrial environments without installing instrumentation on each machine, which is decisive in remote, hazardous, or hard-to-access sites common to these sectors.\"}}, {\"@type\": \"Question\", \"name\": \"How much does it cost to implement industrial predictive maintenance?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The cost of industrial predictive maintenance with 2Neuron is a predictable monthly subscription, not a heavy upfront investment. Because the Ultronline reads the motor's own electrical signals (ESA) and requires no additional sensors on the machine, you avoid the sensor hardware, cabling, and installation costs that drive up traditional condition-monitoring projects. Pricing scales with the number of assets monitored, and the discount grows exponentially: the more assets you monitor, the lower the price per asset. In practice, total cost of ownership is built from three things: the monitored asset count, the Ultronline hardware that taps the existing motor circuit, and the software subscription that runs 2Neuron's proprietary AI and statistical analysis on the captured current and voltage signals. A single Ultronline unit covers a wide range of industrial drives without custom engineering. Most clients start with a pilot on a defined set of critical assets, which keeps the initial commitment small and lets you size the rollout against real results before scaling plant-wide. Talk to our team for asset-based pricing.\"}}, {\"@type\": \"Question\", \"name\": \"How does a 2Neuron pilot or proof of concept work?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"A 2Neuron pilot is a proof of concept on a defined set of your critical assets, designed to prove value before any plant-wide commitment. We install the Ultronline on the selected motors, start capturing the electrical signals (current and voltage), and run our proprietary ESA-plus-AI analysis to detect emerging mechanical and electrical faults. You see real diagnostics on your own equipment, not a generic demo. The pilot follows a clear sequence: we agree on the asset list and success criteria with your reliability team, connect the Ultronline to the existing motor circuit (no extra sensors on the machine), and begin monitoring. Because the analysis is signal-based and AI-driven, the system characterizes each asset and surfaces anomalies as condition data accumulates, giving your team advance warning of developing issues. At the end of the pilot you have evidence from your own plant to decide on scaling. Pilots are scoped to keep the entry low-risk, and during the pilot the client benefits from differentiated commercial conditions. Contact us to define a pilot scope.\"}}, {\"@type\": \"Question\", \"name\": \"How does predictive maintenance reduce operational costs?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Predictive maintenance reduces operational costs by replacing unplanned downtime and fixed-calendar interventions with action based on the actual condition of each asset. Instead of repairing on a schedule or reacting after a failure, your team intervenes only when 2Neuron's analysis detects a developing fault, which cuts emergency repairs, secondary damage, and lost production. The Ultronline enables this without adding sensors to the machine. The savings come from how the technology works: by analyzing the motor's own electrical signals with 2Neuron's proprietary ESA and AI, the system detects mechanical and electrical degradation weeks of advance notice before it becomes a breakdown. That lets maintenance teams plan parts, labor, and shutdown windows instead of paying premium costs for emergency response. It also avoids the capital and installation cost of extra sensors, extends asset life by catching problems early, and reduces unnecessary preventive interventions on healthy equipment. The net effect is lower maintenance spend and higher availability across the plant.\"}}, {\"@type\": \"Question\", \"name\": \"What is the ROI of predictive maintenance using electrical signature analysis?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"The ROI of predictive maintenance using electrical signature analysis comes from avoiding the high cost of unplanned failures while keeping monitoring costs low. With 2Neuron, the return is driven by fewer breakdowns, less production loss, and the elimination of extra sensor hardware, since the Ultronline uses the motor's existing electrical signals (ESA) analyzed by our proprietary AI. On average, 2Neuron deployments deliver a 14.5x ROI, and a single avoided failure on a critical asset can already outweigh the full cost of the subscription. Electrical signature analysis is particularly cost-effective because there is no sensor installation on the machine, lowering both the upfront investment and the denominator in the ROI calculation. On the return side, detecting mechanical and electrical faults weeks of advance notice lets teams avoid emergency repairs, secondary damage to coupled equipment, and unplanned downtime, the largest cost drivers in industrial maintenance. ROI scales with asset criticality: the more costly a stoppage, the faster the payback. The clearest way to quantify your specific return is a pilot on your own critical assets, where the value shows up in your real operating data. See our results.\"}}, {\"@type\": \"Question\", \"name\": \"Does the solution integrate with my current CMMS\/SCADA?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Yes, 2Neuron is designed to fit into your existing operation alongside your current CMMS and SCADA systems. The Ultronline monitors assets through the motor's electrical signals and delivers diagnostics and alerts that your team can act on within established maintenance and operations workflows. 2Neuron provides an API so its condition data and fault alerts integrate directly with your CMMS, SCADA and other systems, and the integration scope is defined with your team based on your specific systems. Because the solution does not require additional sensors on the machine, it adds a layer of ESA and proprietary AI analysis without disrupting your control architecture. Condition insights and fault alerts from 2Neuron can feed the work-order and planning processes you already run in your CMMS, so detected issues turn into planned interventions rather than living in a separate silo. The Ultronline connects to the existing motor circuit, keeping the footprint minimal. To confirm exactly how it maps to your CMMS or SCADA environment, talk to our engineering team.\"}}, {\"@type\": \"Question\", \"name\": \"How do I start monitoring my assets with 2Neuron?\", \"acceptedAnswer\": {\"@type\": \"Answer\", \"text\": \"Getting started with 2Neuron is straightforward: contact our team, define a set of critical assets, and run a pilot. We install the Ultronline on the selected motors, begin capturing the electrical signals, and our proprietary ESA-plus-AI analysis starts detecting mechanical and electrical conditions on your equipment. No additional sensors are added to the machine. The path from first contact to live monitoring is short. After an initial conversation about your assets and priorities, we scope a pilot with clear success criteria, connect the Ultronline to the existing motor circuits, and begin analyzing real signals. From there you get condition diagnostics and advance fault warnings your reliability team can act on, and you use the pilot results to decide how to scale across the plant. Reach out through our contact page to begin.\"}}]}<\/script>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-1043","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/pages\/1043","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/comments?post=1043"}],"version-history":[{"count":1,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/pages\/1043\/revisions"}],"predecessor-version":[{"id":1044,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/pages\/1043\/revisions\/1044"}],"wp:attachment":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/media?parent=1043"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}