{"id":1065,"date":"2026-06-22T19:14:34","date_gmt":"2026-06-22T19:14:34","guid":{"rendered":"https:\/\/2neuron.com\/electrical-signature-analysis-guide-preview-1782155676\/"},"modified":"2026-06-22T19:17:32","modified_gmt":"2026-06-22T19:17:32","slug":"electrical-signature-analysis-guide","status":"publish","type":"post","link":"https:\/\/2neuron.com\/en\/electrical-signature-analysis-guide\/","title":{"rendered":"Electrical Signature Analysis (ESA): The Complete Guide [2026]"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"1065\" class=\"elementor elementor-1065 elementor-bc-flex-widget\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a1b2c3d e-con-full e-flex e-con e-parent\" data-id=\"a1b2c3d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e4f5a6b elementor-widget elementor-widget-html\" data-id=\"e4f5a6b\" 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<style>\n@import url('https:\/\/fonts.googleapis.com\/css2?family=Mohave:wght@300;400;500;600;700&display=swap');\n.tnpillar-7c3e1-article { background:#FFFFFF; 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margin:0; }\n.tnpillar-7c3e1-closing { margin-top:40px; padding:78px 5% 96px; background:linear-gradient(180deg,#FFFFFF 0%,#F5F2FA 100%); text-align:center; border-top:1px solid rgba(117,59,189,0.10); }\n.tnpillar-7c3e1-closing-text { font-size:32px; font-weight:500; line-height:1.3; color:#4E008E; max-width:920px; margin:0 auto 18px; }\n.tnpillar-7c3e1-closing-coda { font-size:20px; font-weight:600; color:#1F1135; margin:24px auto 40px; }\n.tnpillar-7c3e1-cta { display:inline-block; font-size:14px; font-weight:600; letter-spacing:1.8px; text-transform:uppercase; color:#FFF !important; background:#4E008E; padding:18px 48px; border-radius:999px; text-decoration:none !important; }\n.tnpillar-7c3e1-cta:hover { background:#753BBD; color:#FFF !important; }\n@media (max-width:1100px) { .tnpillar-7c3e1-h1{font-size:54px;} .tnpillar-7c3e1-section{grid-template-columns:90px 1fr; gap:34px;} .tnpillar-7c3e1-section-num{font-size:56px;} .tnpillar-7c3e1-h2{font-size:32px;} }\n@media (max-width:768px) { .tnpillar-7c3e1-hero{padding:70px 5% 60px;} .tnpillar-7c3e1-h1{font-size:40px;} .tnpillar-7c3e1-lead{font-size:18px;} .tnpillar-7c3e1-body{padding:60px 5% 24px;} .tnpillar-7c3e1-section{grid-template-columns:1fr; gap:14px; margin-bottom:62px;} .tnpillar-7c3e1-section-num{font-size:48px; text-align:left;} .tnpillar-7c3e1-h2{font-size:27px;} .tnpillar-7c3e1-p,.tnpillar-7c3e1-ul li{font-size:16.5px;} .tnpillar-7c3e1-table{font-size:14px;} .tnpillar-7c3e1-pq{font-size:22px;} .tnpillar-7c3e1-closing-text{font-size:23px;} }\n<\/style>\n\n<article class=\"tnpillar-7c3e1-article\">\n  <header class=\"tnpillar-7c3e1-hero\">\n    <span class=\"tnpillar-7c3e1-eyebrow\"><span class=\"tnpillar-7c3e1-en\">Complete Guide<\/span><span class=\"tnpillar-7c3e1-pt\">Guia Completo<\/span><\/span>\n    <h1 class=\"tnpillar-7c3e1-h1\"><span class=\"tnpillar-7c3e1-en\">Electrical Signature Analysis<\/span><span class=\"tnpillar-7c3e1-pt\">An\u00e1lise de Assinatura El\u00e9trica<\/span><\/h1>\n    <p class=\"tnpillar-7c3e1-lead tnpillar-7c3e1-en-b\">What ESA is, how it works, the faults it detects, and why it beats sensor-based monitoring on cost. Sensorless predictive maintenance, powered by 2Neuron AI.<\/p>\n    <p class=\"tnpillar-7c3e1-lead tnpillar-7c3e1-pt-b\">O que \u00e9 a ESA, como funciona, quais falhas detecta e por que vence o monitoramento com sensor no custo. Manuten\u00e7\u00e3o preditiva sem sensores, com IA da 2Neuron.<\/p>\n    <div class=\"tnpillar-7c3e1-meta\"><span class=\"tnpillar-7c3e1-en\">ESA \u00b7 Predictive Maintenance \u00b7 2026<\/span><span class=\"tnpillar-7c3e1-pt\">ESA \u00b7 Manuten\u00e7\u00e3o Preditiva \u00b7 2026<\/span><\/div>\n  <\/header>\n  <div class=\"tnpillar-7c3e1-body\">\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">00<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">The business case<\/span><span class=\"tnpillar-7c3e1-pt\">O que est\u00e1 em jogo<\/span><\/h2>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">Unplanned downtime has become one of the largest controllable costs in industry. The Siemens \/ Senseye <em>True Cost of Downtime 2024<\/em> study put the combined loss of the Fortune Global 500 at roughly <strong>US$ 1.4 trillion a year, equal to 11% of revenue<\/strong>, up from 8% before the pandemic.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">A parada n\u00e3o planejada virou um dos maiores custos control\u00e1veis da ind\u00fastria. O estudo <em>True Cost of Downtime 2024<\/em> (Siemens \/ Senseye) estimou a perda combinada das 500 maiores empresas do mundo em cerca de <strong>US$ 1,4 trilh\u00e3o por ano, 11% da receita<\/strong>, ante 8% antes da pandemia.<\/p>\n      <figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-en-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-01-downtime-cost-en.png\" alt=\"Unplanned downtime losses are rising as a share of revenue. Source: Siemens \/ Senseye 2024.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Unplanned downtime losses are rising as a share of revenue. Source: Siemens \/ Senseye 2024.<\/figcaption><\/figure><figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-pt-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-01-downtime-cost-pt.png\" alt=\"As perdas com parada n\u00e3o planejada crescem como fra\u00e7\u00e3o da receita. Fonte: Siemens \/ Senseye 2024.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">As perdas com parada n\u00e3o planejada crescem como fra\u00e7\u00e3o da receita. Fonte: Siemens \/ Senseye 2024.<\/figcaption><\/figure>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">The U.S. Department of Energy reports that a properly implemented predictive maintenance program can <strong>eliminate 70-75% of breakdowns, cut downtime 35-45%, reduce maintenance cost 25-30%<\/strong>, and return up to 10x the investment. The market is growing about <strong>28% a year<\/strong>.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">O Departamento de Energia dos EUA (DOE) relata que um programa de preditiva bem implementado pode <strong>eliminar 70-75% das quebras, reduzir a parada em 35-45%, cortar custo de manuten\u00e7\u00e3o em 25-30%<\/strong> e retornar at\u00e9 10x o investimento. O mercado cresce cerca de <strong>28% ao ano<\/strong>.<\/p>\n      <figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-en-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-03-pdm-benefits-en.png\" alt=\"Documented outcomes of predictive maintenance. Source: U.S. DOE.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Documented outcomes of predictive maintenance. Source: U.S. DOE.<\/figcaption><\/figure><figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-pt-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-03-pdm-benefits-pt.png\" alt=\"Resultados documentados da manuten\u00e7\u00e3o preditiva. Fonte: DOE dos EUA.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Resultados documentados da manuten\u00e7\u00e3o preditiva. Fonte: DOE dos EUA.<\/figcaption><\/figure>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">The question is no longer <em>whether<\/em> to monitor condition, but how to do it across the whole asset base without drowning in hardware and false alarms. That is the gap ESA fills.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">A pergunta n\u00e3o \u00e9 mais <em>se<\/em> deve monitorar condi\u00e7\u00e3o, mas como fazer isso na base inteira de ativos sem se afogar em hardware e alarmes falsos. \u00c9 essa lacuna que a ESA preenche.<\/p>\n    <\/div><\/section>\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">01<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">What is ESA?<\/span><span class=\"tnpillar-7c3e1-pt\">O que \u00e9 a ESA?<\/span><\/h2>\n      <div class=\"tnpillar-7c3e1-define\"><span class=\"tnpillar-7c3e1-define-label\"><span class=\"tnpillar-7c3e1-en\">Definition<\/span><span class=\"tnpillar-7c3e1-pt\">Defini\u00e7\u00e3o<\/span><\/span>\n        <p class=\"tnpillar-7c3e1-en-b\">Electrical Signature Analysis (ESA) is an online, non-intrusive method that assesses the <strong>mechanical, electrical and operational<\/strong> health of motor-driven assets by analyzing the current and voltage that already power them. Nothing is installed on the machine; the measurement happens at the electrical panel.<\/p>\n        <p class=\"tnpillar-7c3e1-pt-b\">A An\u00e1lise de Assinatura El\u00e9trica (ESA) \u00e9 um m\u00e9todo online e n\u00e3o intrusivo que avalia a sa\u00fade <strong>mec\u00e2nica, el\u00e9trica e operacional<\/strong> de ativos acionados por motores a partir da corrente e da tens\u00e3o que j\u00e1 os alimentam. Nada \u00e9 instalado na m\u00e1quina; a medi\u00e7\u00e3o acontece no painel el\u00e9trico.<\/p>\n      <\/div>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">An electric motor is also a sensor: anything that disturbs its rotation leaves a periodic fingerprint in the current it draws. Reading those fingerprints is the foundation of <strong>sensorless predictive maintenance<\/strong>. It matters because electric motor systems consume about <strong>53% of the world's electricity and 72% of all industrial electricity<\/strong> (IEA).<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">Um motor el\u00e9trico tamb\u00e9m \u00e9 um sensor: tudo o que perturba a sua rota\u00e7\u00e3o deixa uma impress\u00e3o digital peri\u00f3dica na corrente. Ler essas impress\u00f5es \u00e9 a base da <strong>manuten\u00e7\u00e3o preditiva sem sensores<\/strong>. Isso importa porque sistemas de motores consomem cerca de <strong>53% da eletricidade do mundo e 72% da industrial<\/strong> (IEA).<\/p>\n      <blockquote class=\"tnpillar-7c3e1-pq\"><span class=\"tnpillar-7c3e1-en\">The motor is the sensor. The panel is the measurement point.<\/span><span class=\"tnpillar-7c3e1-pt\">O motor \u00e9 o sensor. O painel \u00e9 o ponto de medi\u00e7\u00e3o.<\/span><\/blockquote>\n    <\/div><\/section>\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">02<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">What faults ESA detects<\/span><span class=\"tnpillar-7c3e1-pt\">O que a ESA detecta<\/span><\/h2>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">Across IEEE and EPRI studies, <strong>bearings cause 41-51% of motor failures and stator windings another ~37%<\/strong>, roughly <strong>78% of all failures, both readable electrically<\/strong>.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">Em estudos da IEEE e da EPRI, <strong>rolamentos causam 41-51% das falhas e enrolamentos outros ~37%<\/strong>, cerca de <strong>78% de todas as falhas, ambos leg\u00edveis eletricamente<\/strong>.<\/p>\n      <figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-en-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-02-motor-failures-en.png\" alt=\"The two dominant failure modes are both electrically detectable. Source: IEEE \/ EPRI.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">The two dominant failure modes are both electrically detectable. Source: IEEE \/ EPRI.<\/figcaption><\/figure><figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-pt-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-02-motor-failures-pt.png\" alt=\"Os dois modos de falha dominantes s\u00e3o detect\u00e1veis eletricamente. Fonte: IEEE \/ EPRI.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Os dois modos de falha dominantes s\u00e3o detect\u00e1veis eletricamente. Fonte: IEEE \/ EPRI.<\/figcaption><\/figure>\n      <ul class=\"tnpillar-7c3e1-ul\">\n        <li><span class=\"tnpillar-7c3e1-en\"><strong>Mechanical:<\/strong> bearings, misalignment, unbalance, looseness, eccentricity, broken rotor bars.<\/span><span class=\"tnpillar-7c3e1-pt\"><strong>Mec\u00e2nicas:<\/strong> rolamentos, desalinhamento, desbalanceamento, folga, excentricidade, barras de rotor quebradas.<\/span><\/li>\n        <li><span class=\"tnpillar-7c3e1-en\"><strong>Pumps and fans:<\/strong> impeller clogging, cavitation, dry running, recirculation.<\/span><span class=\"tnpillar-7c3e1-pt\"><strong>Bombas e ventiladores:<\/strong> obstru\u00e7\u00e3o de rotor, cavita\u00e7\u00e3o, funcionamento a seco, recircula\u00e7\u00e3o.<\/span><\/li>\n        <li><span class=\"tnpillar-7c3e1-en\"><strong>Electrical and energy:<\/strong> insulation, phase unbalance, harmonics and efficiency losses.<\/span><span class=\"tnpillar-7c3e1-pt\"><strong>El\u00e9tricas e energia:<\/strong> isola\u00e7\u00e3o, desequil\u00edbrio de fases, harm\u00f4nicos e perdas de efici\u00eancia.<\/span><\/li>\n      <\/ul>\n    <\/div><\/section>\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">03<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">ESA vs vibration analysis<\/span><span class=\"tnpillar-7c3e1-pt\">ESA vs an\u00e1lise de vibra\u00e7\u00e3o<\/span><\/h2>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">The clearest difference is economic, and it is structural. A real vibration program rarely puts one sensor on a machine: good practice instruments every bearing, so a motor-and-pump train needs <strong>3-4 measurement points<\/strong>. ESA reads the whole train from <strong>one point at the panel<\/strong>. And wireless vibration sensors run on batteries that last 2-5 years and then need a technician visit per sensor, while ESA is panel-powered and <strong>never needs a battery<\/strong>.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">A diferen\u00e7a mais clara \u00e9 econ\u00f4mica, e \u00e9 estrutural. Um programa real de vibra\u00e7\u00e3o raramente usa um sensor por m\u00e1quina: a boa pr\u00e1tica instrumenta cada mancal, ent\u00e3o um conjunto motor-bomba precisa de <strong>3-4 pontos de medi\u00e7\u00e3o<\/strong>. A ESA l\u00ea o trem todo a partir de <strong>um ponto no painel<\/strong>. E sensores de vibra\u00e7\u00e3o sem fio t\u00eam baterias que duram 2-5 anos e exigem visita de t\u00e9cnico por sensor, enquanto a ESA \u00e9 alimentada pelo painel e <strong>nunca precisa de bateria<\/strong>.<\/p>\n      <figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-en-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-05-scale-esa-vs-vibration-en.png\" alt=\"Total cost of ownership per asset. Illustrative; assumptions in the chart.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Total cost of ownership per asset. Illustrative; assumptions in the chart.<\/figcaption><\/figure><figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-pt-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-05-scale-esa-vs-vibration-pt.png\" alt=\"Custo total de propriedade por ativo. Ilustrativo; premissas no gr\u00e1fico.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Custo total de propriedade por ativo. Ilustrativo; premissas no gr\u00e1fico.<\/figcaption><\/figure>\n      <div class=\"tnpillar-7c3e1-en-b\"><table class=\"tnpillar-7c3e1-table\">\n        <tr><th><\/th><th>ESA<\/th><th>Vibration<\/th><th>Thermography<\/th><\/tr>\n        <tr><td><strong>Sensor on machine?<\/strong><\/td><td>No<\/td><td>Yes (per point)<\/td><td>No (line of sight)<\/td><\/tr>\n        <tr><td><strong>Points per asset<\/strong><\/td><td>1 (whole train)<\/td><td>3-4 (per bearing)<\/td><td>Route-based<\/td><\/tr>\n        <tr><td><strong>Recurring cost<\/strong><\/td><td>None (no battery)<\/td><td>Battery swap ~2-5 yrs + labor<\/td><td>Labor each route<\/td><\/tr>\n        <tr><td><strong>Continuous 24\/7?<\/strong><\/td><td>Yes<\/td><td>Often periodic<\/td><td>Periodic<\/td><\/tr>\n        <tr><td><strong>Hard-to-reach assets<\/strong><\/td><td>Covered from panel<\/td><td>Hard \/ impossible<\/td><td>Hard \/ impossible<\/td><\/tr>\n        <tr><td><strong>Cost per asset (TCO)<\/strong><\/td><td>1x<\/td><td>~5x<\/td><td>Varies<\/td><\/tr>\n      <\/table><\/div>\n      <div class=\"tnpillar-7c3e1-pt-b\"><table class=\"tnpillar-7c3e1-table\">\n        <tr><th><\/th><th>ESA<\/th><th>Vibra\u00e7\u00e3o<\/th><th>Termografia<\/th><\/tr>\n        <tr><td><strong>Sensor na m\u00e1quina?<\/strong><\/td><td>N\u00e3o<\/td><td>Sim (por ponto)<\/td><td>N\u00e3o (linha de visada)<\/td><\/tr>\n        <tr><td><strong>Pontos por ativo<\/strong><\/td><td>1 (trem todo)<\/td><td>3-4 (por mancal)<\/td><td>Por rota<\/td><\/tr>\n        <tr><td><strong>Custo recorrente<\/strong><\/td><td>Nenhum (sem bateria)<\/td><td>Troca de bateria ~2-5 anos + m\u00e3o de obra<\/td><td>M\u00e3o de obra por rota<\/td><\/tr>\n        <tr><td><strong>Cont\u00ednua 24\/7?<\/strong><\/td><td>Sim<\/td><td>Em geral peri\u00f3dica<\/td><td>Peri\u00f3dica<\/td><\/tr>\n        <tr><td><strong>Ativos inacess\u00edveis<\/strong><\/td><td>Cobertos pelo painel<\/td><td>Dif\u00edcil \/ imposs\u00edvel<\/td><td>Dif\u00edcil \/ imposs\u00edvel<\/td><\/tr>\n        <tr><td><strong>Custo por ativo (TCO)<\/strong><\/td><td>1x<\/td><td>~5x<\/td><td>Varia<\/td><\/tr>\n      <\/table><\/div>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">Counting both factors, ESA's total cost of ownership per asset is consistently several times lower, on the order of <strong>5x<\/strong>, and ESA wins at any fleet size. The methods are complementary: ESA is the right backbone for broad, continuous fleet coverage.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">Somando os dois fatores, o custo total de propriedade por ativo da ESA \u00e9 consistentemente v\u00e1rias vezes menor, da ordem de <strong>5x<\/strong>, e a ESA vence em qualquer tamanho de frota. Os m\u00e9todos s\u00e3o complementares: a ESA \u00e9 a espinha dorsal certa para cobertura ampla e cont\u00ednua de frota.<\/p>\n    <\/div><\/section>\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">04<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">Why ESA needs AI<\/span><span class=\"tnpillar-7c3e1-pt\">Por que a ESA precisa de IA<\/span><\/h2>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">The information is real, but it is buried. Fault components sit far below the line frequency and shift with load. Reading thousands of assets continuously, without drowning the team in false alarms, is not a human task. <strong>2Neuron pairs ESA with proprietary AI<\/strong> that learns each asset's normal behavior, tracks the operating point in real time, and prioritizes what deserves action.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">A informa\u00e7\u00e3o \u00e9 real, mas est\u00e1 enterrada. As componentes de falha ficam muito abaixo da frequ\u00eancia da rede e se movem com a carga. Ler milhares de ativos continuamente, sem afogar o time em alarmes falsos, n\u00e3o \u00e9 tarefa humana. <strong>A 2Neuron combina ESA com IA propriet\u00e1ria<\/strong> que aprende o comportamento normal de cada ativo, acompanha o ponto de opera\u00e7\u00e3o em tempo real e prioriza o que merece a\u00e7\u00e3o.<\/p>\n      <figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-en-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-04-strategy-cost-en.png\" alt=\"Predictive is the lowest-cost maintenance strategy. Source: U.S. DOE.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">Predictive is the lowest-cost maintenance strategy. Source: U.S. DOE.<\/figcaption><\/figure><figure class=\"tnpillar-7c3e1-figure tnpillar-7c3e1-pt-b\"><img decoding=\"async\" src=\"https:\/\/2neuron.com\/wp-content\/uploads\/2026\/06\/esa-04-strategy-cost-pt.png\" alt=\"A preditiva \u00e9 a estrat\u00e9gia de menor custo. Fonte: DOE dos EUA.\" title=\"\"><figcaption class=\"tnpillar-7c3e1-figcap\">A preditiva \u00e9 a estrat\u00e9gia de menor custo. Fonte: DOE dos EUA.<\/figcaption><\/figure>\n    <\/div><\/section>\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">05<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">ESA with 2Neuron, and proof<\/span><span class=\"tnpillar-7c3e1-pt\">ESA com a 2Neuron, e a prova<\/span><\/h2>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-en-b\">The instrument, <strong>Ultronline<\/strong>, installs in the panel and streams the feeder's currents and voltages to the cloud through the <strong>Ultronlink<\/strong> gateway, where proprietary AI converts the signature into diagnosis, alarms and actions. No accelerometer, no probe, no new cabling.<\/p>\n      <p class=\"tnpillar-7c3e1-p tnpillar-7c3e1-pt-b\">O instrumento, o <strong>Ultronline<\/strong>, instala-se no painel e transmite as correntes e tens\u00f5es do alimentador para a nuvem pelo gateway <strong>Ultronlink<\/strong>, onde a IA propriet\u00e1ria converte a assinatura em diagn\u00f3stico, alarmes e a\u00e7\u00f5es. Sem aceler\u00f4metro, sem sonda, sem cabeamento novo.<\/p>\n      <div class=\"tnpillar-7c3e1-define\"><span class=\"tnpillar-7c3e1-define-label\">Sabesp<\/span>\n        <p class=\"tnpillar-7c3e1-en-b\">62 pumping stations monitored from the panel, no sensors on the pumps: roughly <strong>4,374 alarms in 28 days<\/strong> and more than <strong>R$ 3M\/year<\/strong> in recoverable operational value identified, without a single intrusive install.<\/p>\n        <p class=\"tnpillar-7c3e1-pt-b\">62 esta\u00e7\u00f5es de bombeamento monitoradas a partir do painel, sem sensores nas bombas: cerca de <strong>4.374 alarmes em 28 dias<\/strong> e mais de <strong>R$ 3M\/ano<\/strong> em valor operacional recuper\u00e1vel identificado, sem uma \u00fanica instala\u00e7\u00e3o intrusiva.<\/p>\n      <\/div>\n    <\/div><\/section>\n\n    <section class=\"tnpillar-7c3e1-section\"><div class=\"tnpillar-7c3e1-section-num\">FAQ<\/div><div class=\"tnpillar-7c3e1-section-content\">\n      <h2 class=\"tnpillar-7c3e1-h2\"><span class=\"tnpillar-7c3e1-en\">Frequently asked questions<\/span><span class=\"tnpillar-7c3e1-pt\">Perguntas frequentes<\/span><\/h2>\n      <div class=\"tnpillar-7c3e1-en-b\">\n        <p class=\"tnpillar-7c3e1-faq-q\">Is ESA as accurate as vibration analysis?<\/p><p class=\"tnpillar-7c3e1-faq-a\">For a broad class of mechanical and electrical faults, ESA detects the same developing problems, continuously and without hardware on the machine. Vibration can go deeper on a single accessible machine; ESA wins on coverage, scale and inaccessible assets.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">Do I need to stop the machine to install ESA?<\/p><p class=\"tnpillar-7c3e1-faq-a\">No. ESA reads from the electrical panel while the machine runs, with no downtime and no intrusive install.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">Can ESA monitor submersible pumps?<\/p><p class=\"tnpillar-7c3e1-faq-a\">Yes. Because the measurement is at the panel, submersible and otherwise inaccessible pumps are diagnosed without touching the asset.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">Does ESA work with variable frequency drives (VFDs)?<\/p><p class=\"tnpillar-7c3e1-faq-a\">Yes. Drive-fed assets change the signal, which is exactly why the analysis is paired with AI that models each asset's operating point.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">Why is ESA cheaper than sensor-based monitoring?<\/p><p class=\"tnpillar-7c3e1-faq-a\">One panel point covers the whole machine train (vs 3-4 vibration sensors per asset) and there is no battery to replace, so total cost of ownership is on the order of 5x lower.<\/p>\n      <\/div>\n      <div class=\"tnpillar-7c3e1-pt-b\">\n        <p class=\"tnpillar-7c3e1-faq-q\">A ESA \u00e9 t\u00e3o precisa quanto a an\u00e1lise de vibra\u00e7\u00e3o?<\/p><p class=\"tnpillar-7c3e1-faq-a\">Para uma ampla classe de falhas mec\u00e2nicas e el\u00e9tricas, a ESA detecta os mesmos problemas em desenvolvimento, de forma cont\u00ednua e sem hardware na m\u00e1quina. A vibra\u00e7\u00e3o pode ir mais fundo numa m\u00e1quina acess\u00edvel; a ESA ganha em cobertura, escala e ativos inacess\u00edveis.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">Preciso parar a m\u00e1quina para instalar a ESA?<\/p><p class=\"tnpillar-7c3e1-faq-a\">N\u00e3o. A ESA l\u00ea no painel el\u00e9trico com a m\u00e1quina operando, sem parada e sem instala\u00e7\u00e3o intrusiva.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">A ESA monitora bombas submersas?<\/p><p class=\"tnpillar-7c3e1-faq-a\">Sim. Como a medi\u00e7\u00e3o \u00e9 no painel, bombas submersas e inacess\u00edveis s\u00e3o diagnosticadas sem tocar no ativo.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">A ESA funciona com inversores de frequ\u00eancia (VFDs)?<\/p><p class=\"tnpillar-7c3e1-faq-a\">Sim. Ativos com inversor mudam o sinal, e \u00e9 por isso que a an\u00e1lise \u00e9 combinada com IA que modela o ponto de opera\u00e7\u00e3o de cada ativo.<\/p>\n        <p class=\"tnpillar-7c3e1-faq-q\">Por que a ESA \u00e9 mais barata que o monitoramento com sensor?<\/p><p class=\"tnpillar-7c3e1-faq-a\">Um ponto no painel cobre o trem todo (vs 3-4 sensores de vibra\u00e7\u00e3o por ativo) e n\u00e3o h\u00e1 bateria para trocar, ent\u00e3o o custo total de propriedade fica da ordem de 5x menor.<\/p>\n      <\/div>\n    <\/div><\/section>\n\n  <\/div>\n  <footer class=\"tnpillar-7c3e1-closing\">\n    <p class=\"tnpillar-7c3e1-closing-text tnpillar-7c3e1-en-b\">The condition of your machines is already flowing through the cables that power them. ESA reads it; 2Neuron's AI makes it reliable; your team acts on it.<\/p>\n    <p class=\"tnpillar-7c3e1-closing-text tnpillar-7c3e1-pt-b\">A condi\u00e7\u00e3o das suas m\u00e1quinas j\u00e1 est\u00e1 circulando pelos cabos que as alimentam. A ESA l\u00ea; a IA da 2Neuron a torna confi\u00e1vel; o seu time age.<\/p>\n    <p class=\"tnpillar-7c3e1-closing-coda\"><span class=\"tnpillar-7c3e1-en\">Want to see what ESA + 2Neuron AI would find in your plant?<\/span><span class=\"tnpillar-7c3e1-pt\">Quer ver o que a ESA + IA da 2Neuron encontraria na sua planta?<\/span><\/p>\n    <a class=\"tnpillar-7c3e1-cta\" href=\"https:\/\/2neuron.com\/en\/contato\/\"><span class=\"tnpillar-7c3e1-en\">Talk to 2Neuron<\/span><span class=\"tnpillar-7c3e1-pt\">Fale com a 2Neuron<\/span><\/a>\n  <\/footer>\n<\/article>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>What ESA is, how it works, the faults it detects, and why it beats sensor-based monitoring on cost. Sensorless predictive maintenance, powered by 2Neuron AI.<\/p>","protected":false},"author":6,"featured_media":1052,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1065","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/posts\/1065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/types\/post"}],"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=1065"}],"version-history":[{"count":1,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/posts\/1065\/revisions"}],"predecessor-version":[{"id":1066,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/posts\/1065\/revisions\/1066"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/media\/1052"}],"wp:attachment":[{"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/media?parent=1065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/categories?post=1065"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/2neuron.com\/en\/wp-json\/wp\/v2\/tags?post=1065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}