Mechanical fault detection in rotating electrical machines using MCSA-FFT and MCSA-DWT techniques

• Published in: Bulletin of the Polish Academy of Sciences. Technical sciences Vol. 67; no. 3; pp. 571 - 582
• Main Authors: Bessous, N, Sbaa, S, Megherbi, A C
• Format: Journal Article
• Language: English
• Published: Warsaw Polish Academy of Sciences 01.01.2019
• Subjects: Comparative studies; Discrete Wavelet Transform; discrete wavelet transform (dwt); Fast Fourier transformations; Fault detection; Faults; Fourier transforms; Induction motors; motor current signature analysis (mcsa); Roller bearings; rolling element bearing faults; Rotating electrical machines; Rotating machinery; rotor eccentricity; Signature analysis; Squirrel cage motors; stator current spectrum; Stators; Vibration analysis; Wavelet transforms

This paper presents mechanical fault detection in squirrel cage induction motors (SCIMs) by means of two recent techniques. More precisely, we have analyzed the rolling element bearing (REB) faults in SCIM. Rolling element bearing faults constitute a major problem among different faults which cause...