Title of article
A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I.
Author/Authors
Faiz, J School of Electrical and Computer Engineering - College of Engineering, University of Tehran , Takbash, A. M Department of Electrical and Computer Engineering - Concordia University - Montreal, Canada , Mazaheri-Tehrani, E School of Electrical and Computer Engineering - College of Engineering, University of Tehran
Pages
14
From page
109
To page
122
Abstract
The use of efficient signal processing tools (SPTs) to extract proper indices for fault
detection in induction motors (IMs) is the essential part of any fault recognition procedure. In the
first part of the present paper, we focus on Fourier-based techniques, including fast Fourier transform
and short time Fourier transform. In this paper, all utilized SPTs which have been employed for
fault detection in IMs are analyzed in detail. Then, their competency and their drawbacks to extract
indices in transient and steady state modes are criticized from different aspects. Different kinds of
faults, namely, eccentricity, broken bar, and bearing faults as the major internal faults in IMs, are
investigated.
Keywords
Fault diagnosis , induction motors , signal processing , Fourier transform , eccentricity fault , broken bars fault , bearing fault
Journal title
AUT Journal of Electrical Engineering
Serial Year
2017
Record number
2704187
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