Current Signature Analysis to Detect Induction Motor Faults
Анализ сигнатуры тока для обнаружения неисправностей асинхронных двигателей
2001-07-01
SCID: 54.1/bbjbqvpk
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MCSAcondition-based maintenanceinduction motor fault diagnosismotor current signature analysisthree-phase induction motor
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Abstract (AI)
Three-phase induction motors are the "workhorses" of industry and are the most widely used electrical machines. In an industrialized nation, they can typically consume between 40 to 50% of all the generated capacity of that country. This article focuses on the industrial application of motor current signature analysis (MCSA) to diagnose faults in three-phase induction motor drives. MCSA is a noninvasive, online monitoring technique for the diagnosis of problems in induction motors. Reliability-based maintenance (RBM) and condition-based maintenance (CBM) strategies are now widely used by industry, and health monitoring of electrical drives is a major feature in such programs.
Key Findings
1
MCSA supports reliability-based maintenance (RBM) and condition-based maintenance (CBM) programs by enabling health monitoring of electrical drives.
2
Motor current signature analysis (MCSA) is an effective noninvasive, online technique for diagnosing faults in three-phase induction motor drives.
3
The article emphasizes industrial application of MCSA for fault detection in induction motors, positioning it as a major feature of maintenance strategies.
4
Three-phase induction motors consume a large share (40–50%) of a country's generated electrical capacity, underscoring the importance of their reliable operation.
Research Object
Three-phase induction motor drives (industrial induction motors)
Research Subject
Diagnosis of faults using motor current signature analysis (MCSA) as a noninvasive online condition/health monitoring technique for reliability- and condition-based maintenance
Publication Details
Publication Date
2001-07-01
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