{"id":81010,"date":"2026-09-18T08:51:01","date_gmt":"2026-09-18T11:51:01","guid":{"rendered":"https:\/\/a3aengenharia.com\/?post_type=articles&#038;p=81010"},"modified":"2026-09-18T08:51:01","modified_gmt":"2026-09-18T11:51:01","slug":"condition-based-maintenance-cbm-monitoring-diagnosis-decisions","status":"publish","type":"articles","link":"https:\/\/a3aengenharia.com\/en-us\/content\/technical-articles\/condition-based-maintenance-cbm-monitoring-diagnosis-decisions\/","title":{"rendered":"Condition-Based Maintenance (CBM): Monitoring, Diagnosis, and Decision-Making"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Condition-Based Maintenance (CBM) is the strategy in which the decision to intervene depends on the observed condition of the asset rather than only on a fixed calendar. The organization measures, inspects, or tracks variables capable of indicating degradation and compares the results with technical criteria to decide whether to continue operating, intensify monitoring, investigate, schedule maintenance, or carry out an intervention.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">CBM is not synonymous with installing sensors. The strategy works only when there is a relationship between the observed variable and the failure mechanism, when data collection is reliable, and when decision thresholds are associated with asset criticality and risk. Without this structure, the result tends to be a succession of unprioritized alarms or reports without action.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The main advantage is avoiding time-based interventions when condition is still acceptable and anticipating actions when actual degradation requires a response. This reduces both unnecessary maintenance and exposure to failures that could be detected before loss of function.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">How Condition-Based Maintenance Works<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The process begins with the required function of the asset and the failure modes capable of compromising that function. Parameters are then selected that change observably as the degradation mechanism evolves.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These parameters may include temperature, vibration, current, insulation resistance, pressure, flow, ultrasonic noise, oil composition, particles, moisture, partial discharges, or other variables compatible with the physical phenomenon being monitored.<\/p>\n\n\n\n<figure class=\"a3a-mermaid\"><svg id=\"a3a-diagram-1\" width=\"100%\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"flowchart\" style=\"max-width:min(548.41796875px, 100%);height:auto;display:block;margin:0 auto\" viewBox=\"0 0 548.41796875 1072.15625\" role=\"graphics-document document\" aria-roledescription=\"flowchart-v2\" aria-labelledby=\"chart-title-a3a-diagram-1\"><title id=\"chart-title-a3a-diagram-1\">Condition-Based Maintenance Flow from the Monitored Asset to the Intervention 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class=\"nodeLabel\"><p>Condition variable<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-C-3\" transform=\"translate(215.28125, 239.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-83.8359375\" y=\"-26.25\" width=\"167.671875\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-53.8359375, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"107.671875\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Reliable data collection<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-D-5\" transform=\"translate(215.28125, 341.75)\"><rect class=\"basic label-container\" style=\"\" x=\"-114.890625\" y=\"-26.25\" width=\"229.78125\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-84.890625, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"169.78125\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Comparison with criterion<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-E-7\" transform=\"translate(215.28125, 511.25)\"><polygon points=\"93.25,0 186.5,-93.25 93.25,-186.5 0,-93.25\" class=\"label-container\" transform=\"translate(-92.75, 93.25)\"><\/polygon><g class=\"label\" style=\"\" transform=\"translate(-67, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"134\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Acceptable condition?<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-F-9\" transform=\"translate(106.265625, 703.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-98.265625\" y=\"-26.25\" width=\"196.53125\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-68.265625, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"136.53125\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Continue operating<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-G-11\" transform=\"translate(324.296875, 703.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-69.765625\" y=\"-26.25\" width=\"139.53125\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-39.765625, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"79.53125\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Diagnosis<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-H-13\" transform=\"translate(324.296875, 859.328125)\"><polygon points=\"79.828125,0 159.65625,-79.828125 79.828125,-159.65625 0,-79.828125\" class=\"label-container\" transform=\"translate(-79.328125, 79.828125)\"><\/polygon><g class=\"label\" style=\"\" transform=\"translate(-53.578125, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"107.15625\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Acceptable risk?<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-I-15\" transform=\"translate(208.44921875, 1037.90625)\"><rect class=\"basic label-container\" style=\"\" x=\"-81.421875\" y=\"-26.25\" width=\"162.84375\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-51.421875, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"102.84375\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Increase monitoring<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-J-17\" transform=\"translate(440.14453125, 1037.90625)\"><rect class=\"basic label-container\" style=\"\" x=\"-100.2734375\" y=\"-26.25\" width=\"200.546875\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-70.2734375, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"140.546875\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Plan intervention<\/p><\/span><\/div><\/foreignObject><\/g><\/g><\/g><\/g><\/g><\/svg><figcaption>Condition-Based Maintenance Flow from the Monitored Asset to the Intervention Decision<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The value of the process lies in the decision. The same reading may receive different treatment depending on function, redundancy, failure consequence, degradation rate, and recovery capability.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">CBM, Predictive Maintenance, and Inspection Are Not the Same Thing<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">CBM uses observed condition as the trigger for action. Predictive maintenance may go further by seeking to infer trends, remaining life, or the probable timing of intervention. Inspection, in turn, is a data-collection or verification activity that may form part of several strategies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In practice, there is substantial overlap between CBM and predictive maintenance. The most useful distinction is that CBM emphasizes decision criteria based on current condition, while predictive maintenance emphasizes anticipating future evolution.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A standalone thermographic inspection is therefore not, by itself, a CBM program. It becomes part of the strategy when the asset is identified and load condition, evaluation criteria, history, criticality, responsibilities, and responses for each finding class are defined.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to Select the Right Condition Variable<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The variable must have a plausible physical connection with the failure mechanism. Measuring what is easy but weakly related to degradation creates a sense of control without increasing reliability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For a bearing, vibration and temperature may be relevant. For an electrical panel, temperature, current, power quality, or insulation condition may reveal different phenomena. For a hydraulic system, pressure, flow, contamination, and particles may be more representative.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Selection also needs to consider repeatability, accuracy, ease of collection, sensitivity to load and environmental changes, and the time available between detection and functional failure.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">Baseline, Trend, and Alarm Threshold<\/h2>\n\n\n\n<div class=\"wp-block-a3a-destaque\">\n<p class=\"wp-block-paragraph\">If the organization collects condition data but alarms do not generate priorities, deadlines, or ownership, the problem is no longer instrumentation but governance. Maintenance Engineering turns signals into criteria, decisions, and verifiable actions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"\/servicos\/operacao\/engenharia-de-manutencao\/\">Structure Maintenance Engineering Criteria<\/a><\/p>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">An absolute value may be less useful than comparison with historical behavior. CBM programs therefore usually need a baseline \u2014 a reference condition considered normal for that asset and operating regime.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Trend analysis helps distinguish a stable value from a degradation process. A parameter still within the limit may justify investigation if it is changing rapidly; another above a generic reference may be acceptable when supported by technical justification and a consistent history.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Alarm thresholds therefore should not be treated as universal numbers. They may come from standards, manufacturers, design criteria, documented experience, statistical history, or reliability engineering, but they always need to be interpreted in the context of function and risk.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Criticality Defines Monitoring Depth<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Continuously monitoring every asset is often economically inefficient. Criticality helps concentrate instrumentation, inspection frequency, and analytical effort where a failure would generate significant consequences.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A critical asset may require permanent sensors, measurement redundancy, and rapid response. A lower-consequence asset may be monitored through periodic routes or even run to failure, provided that decision is consciously accepted.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"\/conteudo\/artigos-tecnicos\/analise-criticidade-ativos-criterios-matriz-priorizacao\/\">Asset Criticality Analysis<\/a> is therefore a natural step before expanding a CBM program.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">How to Define Inspection Frequency<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Frequency should be short enough to detect degradation with useful lead time and long enough to avoid wasting resources on measurements that add no information.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This interval depends on the rate at which the failure mode evolves, the sensitivity of the technique, and the time required to confirm the diagnosis, mobilize resources, and execute the intervention.<\/p>\n\n\n\n<figure class=\"a3a-mermaid\"><svg id=\"a3a-diagram-2\" width=\"100%\" 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table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel\"><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"edgeLabel\"><g class=\"label\" data-id=\"L_C_D_0\" transform=\"translate(0, 0)\"><foreignObject overflow=\"visible\" width=\"0\" height=\"0\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel\"><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"edgeLabel\"><g class=\"label\" data-id=\"L_D_E_0\" transform=\"translate(0, 0)\"><foreignObject overflow=\"visible\" width=\"0\" height=\"0\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel\"><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"edgeLabel\"><g class=\"label\" data-id=\"L_E_F_0\" transform=\"translate(0, 0)\"><foreignObject overflow=\"visible\" width=\"0\" height=\"0\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel\"><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"edgeLabel\" transform=\"translate(483.46875, 136.75)\"><g class=\"label\" data-id=\"L_B_G_0\" transform=\"translate(-45.34375, -11.25)\"><foreignObject overflow=\"visible\" width=\"90.6875\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" class=\"labelBkg\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"edgeLabel\"><p>no response<\/p><\/span><\/div><\/foreignObject><\/g><\/g><\/g><g class=\"nodes\"><g class=\"node default\" id=\"flowchart-A-0\" transform=\"translate(95.6875, 85.5)\"><rect class=\"basic label-container\" style=\"\" x=\"-87.6875\" y=\"-26.25\" width=\"175.375\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-57.6875, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"115.375\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Normal condition<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-B-1\" transform=\"translate(323.25, 85.5)\"><rect class=\"basic label-container\" style=\"\" x=\"-89.875\" y=\"-26.25\" width=\"179.75\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-59.875, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"119.75\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Detectable deviation<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-C-3\" transform=\"translate(635.6640625, 34.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-72.515625\" y=\"-26.25\" width=\"145.03125\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-42.515625, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"85.03125\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Confirmation<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-D-5\" transform=\"translate(837.28125, 34.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-69.765625\" y=\"-26.25\" width=\"139.53125\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-39.765625, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"79.53125\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Diagnosis<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-E-7\" transform=\"translate(1034.125, 34.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-77.078125\" y=\"-26.25\" width=\"154.15625\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-47.078125, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"94.15625\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Planning<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-F-9\" transform=\"translate(1231.5078125, 34.25)\"><rect class=\"basic label-container\" style=\"\" x=\"-70.3046875\" y=\"-26.25\" width=\"140.609375\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-40.3046875, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"80.609375\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Intervention<\/p><\/span><\/div><\/foreignObject><\/g><\/g><g class=\"node default\" id=\"flowchart-G-11\" transform=\"translate(635.6640625, 136.75)\"><rect class=\"basic label-container\" style=\"\" x=\"-81.8515625\" y=\"-26.25\" width=\"163.703125\" height=\"52.5\"><\/rect><g class=\"label\" style=\"\" transform=\"translate(-51.8515625, -11.25)\"><rect><\/rect><foreignObject overflow=\"visible\" width=\"103.703125\" height=\"22.5\"><div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\" style=\"display: table-cell; white-space: nowrap; line-height: 1.5; max-width: 200px; text-align: center;\"><span class=\"nodeLabel\"><p>Functional failure<\/p><\/span><\/div><\/foreignObject><\/g><\/g><\/g><\/g><\/g><\/svg><figcaption>Relationship Between Condition Evolution, Detection, and Available Response Time<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">When the interval between inspections is longer than the response window, the organization may measure correctly and still detect the problem too late.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">Data Quality and Traceability<\/h2>\n\n\n\n<div class=\"wp-block-a3a-destaque\">\n<p class=\"wp-block-paragraph\">When asset registers, identification, and documentation are fragmented, there is no reliable basis for comparing history and condition. Structuring Asset Management is part of the CBM program, not a parallel activity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"\/servicos\/operacao\/gestao-de-ativos-de-engenharia\/\">Structure Asset Registers and Criticality<\/a><\/p>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Condition data needs to be linked to the correct asset, measurement point, date, instrument, operating condition, responsible person, and method. Without this, comparing readings can create false trends or mask relevant changes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Structuring asset registers and hierarchy is also essential. If the same equipment appears under different names in reports, the CMMS, spreadsheets, and drawings, the organization loses traceability and the ability to consolidate history.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is why CBM connects directly with <a href=\"\/servicos\/operacao\/gestao-de-ativos-de-engenharia\/\">Engineering Asset Management<\/a> and document governance.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From Anomaly to Diagnosis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">An anomaly is not an automatic maintenance order. The first step is to verify whether the data is reliable, whether operating conditions explain the deviation, and whether there is correlation with another parameter.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Engineering then evaluates severity, criticality, and possible causes. In some cases, another inspection confirms the trend. In others, specific tests, equipment opening, document analysis, or root cause investigation are required.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This step prevents unnecessary component replacement or treatment of symptoms of a systemic problem.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">CBM in Electrical Installations<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Electrical installations are a natural field for condition-based maintenance, provided the technique is applied with proper criteria. Thermography can reveal abnormal heating; electrical measurements can indicate overload, imbalance, or improper behavior; tests can reveal insulation or contact degradation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A thermal finding, however, should be interpreted considering load, emissivity, environment, connections, equipment specifications, and installation condition. Without context, severity may be overestimated or underestimated.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When evidence points to a systemic inadequacy, the response may move beyond maintenance toward design, study, upgrade, modernization, or planned replacement.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">How to Integrate CBM into the Maintenance Plan<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The plan needs to record which parameter will be observed, where it will be measured, under which conditions, at what frequency, which criteria will be used, and which action corresponds to each result class.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>Element<\/td><td>Required definition<\/td><\/tr><tr><td>Asset and function<\/td><td>What needs to be preserved<\/td><\/tr><tr><td>Failure mode<\/td><td>How the function can be lost<\/td><\/tr><tr><td>Condition variable<\/td><td>What will be observed<\/td><\/tr><tr><td>Method<\/td><td>How data will be collected<\/td><\/tr><tr><td>Frequency<\/td><td>When to measure or inspect<\/td><\/tr><tr><td>Criterion<\/td><td>How to interpret the result<\/td><\/tr><tr><td>Owner<\/td><td>Who analyzes and decides<\/td><\/tr><tr><td>Action<\/td><td>What to do for each condition<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">This structure turns inspection into a governed and auditable task within the <a href=\"\/conteudo\/artigos-tecnicos\/plano-manutencao-atividades-frequencias-criterios\/\">Maintenance Plan<\/a>.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">Where Analytics, Sensors, and AI Fit<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Connected sensors, historians, analytics platforms, and AI models can expand the ability to detect patterns and correlations, especially when large volumes of data are available.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These technologies, however, do not eliminate the need for domain engineering. A model may detect a statistical deviation without understanding whether it represents functional risk. The program needs to maintain traceability between signal, failure mode, criticality, and decision.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Technology should reduce analysis time and improve consistency, not replace the criteria that justify intervention.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">When CBM Is Not the Best Strategy<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">CBM may be unsuitable when there is no detectable variable before failure, when the failure mode evolves too quickly, when monitoring costs exceed the benefit, or when a prescribed preventive intervention is mandatory and technically superior.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It may also be unsuitable when the consequence of failure is so high that monitoring alone does not provide sufficient protection. In this case, redundancy, fail-safe design, protective barriers, or redesign may be required.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">When to Engage Engineering Support<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The need arises when the organization has data, inspections, or alarms but cannot turn them into priorities; when field conditions differ from asset records; when failures persist despite interventions; or when a complete condition-monitoring program needs to be structured.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The work may involve surveys, criticality assessment, definition of variables and criteria, inspection plans, integration with documentation, risk analysis, monitoring specifications, supplier evaluation, procurement, and implementation support.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When findings indicate a broader deficiency, an <a href=\"\/servicos\/levantamento-e-diagnostico\/due-diligence\/\">Engineering Technical Due Diligence<\/a> can organize condition, risks, and an action plan before investment decisions are made.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">How to Establish Intervention Criteria in CBM<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A condition-based maintenance program is useful only when the organization knows how to turn an observed change into a decision. This requires intervention criteria to be defined before an alarm occurs. The criterion may be an absolute threshold, a rate of change, a combination of variables, a comparison with equivalent assets, or a trend-based rule. What matters is that there is a relationship between the monitored indicator, the degradation mechanism, and the expected consequence.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Absolute limits are appropriate when there is a technically recognized value beyond which operation becomes unacceptable. Trends are more useful when parameter evolution carries more information than an isolated value. A temperature may remain below a nominal limit and still require investigation if it rises consistently under equivalent load conditions. The same reasoning applies to vibration, resistance, current, pressure, flow, oil quality, or any other variable correlated with condition.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The criterion also needs to incorporate criticality. The same anomaly may result in intensified monitoring for a redundant asset and early intervention for an asset without contingency whose failure affects safety, production, or continuity. CBM therefore should not operate as an isolated sensor layer; it needs to interact with criticality analysis and the organization&#8217;s risk policy.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When the threshold is exceeded, the response should not automatically be \u201creplace the component.\u201d First, measurement quality must be confirmed, the operating context checked, history compared, the failure mode understood, and severity assessed. Only then should the organization decide whether the correct action is another inspection, load reduction, planned intervention, complementary testing, an upgrade project, or continued monitoring.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">Alarms, False Positives, and Diagnosis: Where CBM Programs Fail<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the most common CBM problems is turning every deviation into a critical alarm. This creates alarm fatigue, loss of operator confidence, and growth in unprioritized work orders. The architecture should distinguish information, warning, confirmed anomaly, and critical condition. These levels need to be associated with responsibilities, deadlines, and escalation criteria.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">False positives arise when a parameter changes because of normal process, environmental, or loading conditions. A high thermal reading may be associated with increased current; a different vibration pattern may result from a speed change; pressure may fluctuate because the operating regime changed. If the system does not record these contextual variables, the algorithm or analyst may interpret as degradation what is merely a change in operating condition.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">False negatives also exist: condition degrades, but the selected indicator does not respond with sufficient lead time. This occurs when the monitored variable is not sensitive to the failure mechanism, the measurement point is inadequate, or the data-collection frequency does not capture the evolution. The program needs to continuously review its detection capability, especially after unanticipated failures.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For this reason, diagnosis should use multiple sources of evidence whenever the risk justifies it. Thermography can be combined with current measurements and physical inspection; vibration with temperature, speed, and oil analysis; electrical testing with event history, protection, and loading. Correlation reduces rushed decisions and improves the ability to distinguish symptom, cause, and consequence.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">Data Architecture and Traceability for Condition-Based Maintenance<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The more data a CBM program produces, the greater the need for governance. Each measurement needs to be associated with the correct asset, collection position, unit, instrument, method, date, operating condition, and responsible person. Without this link, historical series become inconsistent and comparisons across campaigns lose validity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The asset hierarchy must be stable and granular enough to provide traceability. It is not enough to record \u201cmain switchboard\u201d or \u201cmotor\u201d when multiple components, circuits, bearings, measurement points, and functions exist within the same assembly. Identification needs to match the level at which the maintenance decision will be made.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Another requirement is preserving information provenance. Supervisory systems, the CMMS, spreadsheets, service-provider reports, and sensor databases often use different identifiers. Integration needs to establish correspondence among these sources and define which system is authoritative for asset registers, history, and maintenance orders. Otherwise, the same asset may appear under different names and prevent consistent analysis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Governance also means controlling quality. Impossible values, inconsistent units, collection gaps, uncalibrated sensors, incorrect timestamps, and changes in measurement points need to be identified. Technical data should contain enough metadata for another person to understand how it was obtained and under which conditions it can be compared.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">How to Demonstrate the Economic Value of CBM<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The value of condition-based maintenance is not in the number of sensors installed or alarms generated. The benefit appears when information prevents significant failures, reduces unnecessary interventions, improves planning, increases availability, or allows useful life to be utilized without increasing risk exposure.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">An economic assessment should compare program cost with the costs it influences: inspection labor, instrumentation, licenses, data infrastructure, shutdowns, parts, downtime, production losses, and failure consequences. For low-criticality assets, sophisticated monitoring may cost more than a simple replacement or planned corrective policy. For critical assets, anticipating a single failure may justify the entire program.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It is also important to measure decision quality. How many alarms resulted in confirmed findings? How many interventions were anticipated with useful lead time? How many preventive tasks could be revised based on condition? How many failures occurred without the system producing an indication? These questions help distinguish installed technology from actual performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As the program matures, it can adjust collection frequencies, eliminate low-value points, expand monitoring of critical assets, and revise alarm criteria. This cycle turns CBM into an evidence-driven technical management system rather than a static set of sensors and reports.<\/p>\n\n\n\n\n<h2 class=\"wp-block-heading\">Final Considerations<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Condition-based maintenance is a decision strategy. The sensor, inspection route, or test is only a mechanism for observing the asset.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The program creates value when it connects function, failure mode, condition, criticality, risk, and response. This integration makes it possible to reduce unnecessary interventions, anticipate significant degradation, and turn operational evidence into Engineering decisions on maintenance, upgrades, renewal, or replacement.<\/p>\n\n\n\n<div class=\"wp-block-a3a-destaque\">\n<p class=\"wp-block-paragraph\">When diagnosis reveals obsolescence, design inadequacy, or systemic risk, continuing to monitor alone does not address the cause. The next step may require broader diagnosis, design, specification, and an upgrade plan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"\/servicos\/levantamento-e-diagnostico\/due-diligence\/\">Technically Assess the Facility<\/a><\/p>\n<\/div>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Technical references<\/summary>\n<p class=\"wp-block-paragraph\">[1] ASSOCIA\u00c7\u00c3O BRASILEIRA DE NORMAS T\u00c9CNICAS. ABNT NBR 5462:1994 \u2014 Reliability and maintainability \u2014 Terminology. Available at: <a href=\"https:\/\/www.abntcatalogo.com.br\/\">https:\/\/www.abntcatalogo.com.br\/<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[2] ASSOCIA\u00c7\u00c3O BRASILEIRA DE NORMAS T\u00c9CNICAS. ABNT NBR ISO 55001:2024 \u2014 Asset management \u2014 Management systems \u2014 Requirements. Available at: <a href=\"https:\/\/www.iso.org\/standard\/83054.html\">https:\/\/www.iso.org\/standard\/83054.html<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">[3] U.S. DEPARTMENT OF ENERGY. Operations and Maintenance Best Practices: A Guide to Achieving Operational Efficiency. Available at: <a href=\"https:\/\/www.energy.gov\/cmei\/femp\/articles\/operations-and-maintenance-best-practices-guide-achieving-operational-efficiency\">https:\/\/www.energy.gov\/cmei\/femp\/articles\/operations-and-maintenance-best-practices-guide-achieving-operational-efficiency<\/a>.<\/p>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Frequently asked questions<\/summary>\n<div class=\"schema-faq wp-block-yoast-faq-block\"><div class=\"schema-faq-section\" id=\"faq-question-o-que-manuten-o-baseada-em-condi-o-cbm-d1b2fb07\"><strong class=\"schema-faq-question\">What is Condition-Based Maintenance (CBM)?<\/strong> <p class=\"schema-faq-answer\">It is the strategy in which the decision to intervene depends on the observed condition of the asset, evaluated through inspections, measurements, trends, and technical criteria.<\/p><\/div><div class=\"schema-faq-section\" id=\"faq-question-cbm-a-mesma-coisa-que-manuten-o-preditiva-6dd9ef5b\"><strong class=\"schema-faq-question\">Is CBM the same as predictive maintenance?<\/strong> <p class=\"schema-faq-answer\">They are closely related concepts. CBM emphasizes current condition as the trigger for intervention; predictive maintenance may include estimates of trend, evolution, or probable failure timing.<\/p><\/div><div class=\"schema-faq-section\" id=\"faq-question-cbm-exige-sensores-permanentes-f9c02898\"><strong class=\"schema-faq-question\">Does CBM require permanent sensors?<\/strong> <p class=\"schema-faq-answer\">No. Condition can be assessed through periodic inspections, measurement routes, testing, or continuous monitoring, depending on criticality and degradation rate.<\/p><\/div><div class=\"schema-faq-section\" id=\"faq-question-como-definir-um-limite-de-alarme-1802bb4d\"><strong class=\"schema-faq-question\">How should an alarm threshold be defined?<\/strong> <p class=\"schema-faq-answer\">The threshold should consider standards, manufacturer guidance, design, baseline, history, operating condition, criticality, and failure mechanism. It should not be treated as a universal number without context.<\/p><\/div><div class=\"schema-faq-section\" id=\"faq-question-quando-cbm-n-o-adequada-bd629b21\"><strong class=\"schema-faq-question\">When is CBM not appropriate?<\/strong> <p class=\"schema-faq-answer\">When there is no detectable variable before failure, degradation is too fast, monitoring is not economically justified, or the consequence requires another protective barrier.<\/p><\/div><\/div>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>Related technical materials<\/summary>\n<h4 class=\"wp-block-heading\">Related services<\/h4>\n\n<ul class=\"wp-block-list\"><li><a href=\"\/servicos\/operacao\/engenharia-de-manutencao\/\">Maintenance Engineering: Strategies, Reliability, Plans, and Indicators<\/a><\/li><li><a href=\"\/servicos\/operacao\/engenharia-de-confiabilidade-e-disponibilidade\/\">Reliability and Availability Engineering: Criticality, Failures, Performance, and Continuity<\/a><\/li><li><a href=\"\/servicos\/operacao\/gestao-de-ativos-de-engenharia\/\">Engineering Asset Management: Registers, Criticality, Lifecycle, and Performance<\/a><\/li><\/ul>\n\n<h4 class=\"wp-block-heading\">Related solutions<\/h4>\n\n<ul class=\"wp-block-list\"><li><a href=\"\/solucoes\/engenharia-de-software\/aplicacoes-de-campo-inspecao-coleta-de-dados\/\">Field Applications, Inspection, and Technical Data Collection<\/a><\/li><li><a href=\"\/solucoes\/gestao-e-governanca-de-engenharia\/gestao-requisitos-evidencias-criterios-aceite\/\">Requirements, Evidence, and Acceptance Criteria Management<\/a><\/li><\/ul>\n\n<h4 class=\"wp-block-heading\">Main content on this topic<\/h4>\n\n<ul class=\"wp-block-list\"><li><a href=\"\/?post_type=articles&amp;p=79184&amp;preview=true\">Predictive Maintenance: What It Is, How It Works, Techniques, and Application Criteria<\/a><\/li><li><a href=\"\/conteudo\/artigos-tecnicos\/plano-manutencao-atividades-frequencias-criterios\/\">Maintenance Plan: How to Structure Activities, Frequencies, and Criteria<\/a><\/li><\/ul>\n\n<h4 class=\"wp-block-heading\">Related technical content<\/h4>\n\n<ul class=\"wp-block-list\"><li><a href=\"\/conteudo\/artigos-tecnicos\/analise-criticidade-ativos-criterios-matriz-priorizacao\/\">Asset Criticality Analysis: Criteria, Matrix, and Prioritization<\/a><\/li><\/ul>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Condition-Based Maintenance (CBM): learn how to select variables, define thresholds and frequencies, interpret trends, and turn condition data into maintenance decisions.<\/p>\n","protected":false},"author":1,"featured_media":76523,"parent":0,"template":"","meta":{"_a3a_global_related_solutions":[],"_a3a_global_related_services":[],"_a3a_global_related_materials":[],"_a3a_post_lang":"en-us","_a3a_translation_group_id":"f0022061-d27f-4100-8022-5ef43ed47d9c","_a3a_i18n_canonical_slug":"condition-based-maintenance-cbm-monitoring-diagnosis-decisions","_a3a_prod_post_id":"","_a3a_lang_url_en-us":"","_a3a_lang_url_es-es":""},"categories":[],"segments":[],"mercados":[],"etapas":[],"class_list":["post-81010","articles","type-articles","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/articles\/81010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/articles"}],"about":[{"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/types\/articles"}],"author":[{"embeddable":true,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":1,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/articles\/81010\/revisions"}],"predecessor-version":[{"id":81012,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/articles\/81010\/revisions\/81012"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/media\/76523"}],"wp:attachment":[{"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/media?parent=81010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/categories?post=81010"},{"taxonomy":"segments","embeddable":true,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/segments?post=81010"},{"taxonomy":"mercados","embeddable":true,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/mercados?post=81010"},{"taxonomy":"etapas","embeddable":true,"href":"https:\/\/a3aengenharia.com\/en-us\/wp-json\/wp\/v2\/etapas?post=81010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}