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A review of induction motors signature analysis as a medium for faults detection

IEEE Transactions on Industrial Electronics · 2000 · Vol. 47(5) · pp. 984–993
Mohamed Benbouzid

Abstract

This paper is intended as a tutorial overview of induction motors signature analysis as a medium for fault detection. The purpose is to introduce in a concise manner the fundamental theory, main results, and practical applications of motor signature analysis for the detection and the localization of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of induction motors. The paper is focused on the so-called motor current signature analysis which utilizes the results of spectral analysis of the stator current. The paper is purposefully written without "state-of-the-art" terminology for the benefit of practising engineers in facilities today who may not be familiar with signal processing.

Machine Fault Diagnosis TechniquesNon-Destructive Testing TechniquesStructural Health Monitoring TechniquesSignature (topology)Induction motorStatorTerminologyComputer scienceFault detection and isolationControl engineeringSignal processingFault (geology)Engineering
Citations
1,540
FWCI
31.73
field-weighted impact
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55
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References
APPLICATION OF WAVELETS TO GEARBOX VIBRATION SIGNALS FOR FAULT DETECTION
Journal of Sound and Vibration · 1996 · 464 citations
Motor bearing damage detection using stator current monitoring
IEEE Transactions on Industry Applications · 1995 · 742 citations
Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors
IEEE Transactions on Industry Applications · 1992 · 578 citations
Report of Large Motor Reliability Survey of Industrial and Commercial Installations, Part I
IEEE Transactions on Industry Applications · 1985 · 577 citations
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