TY - JOUR ID - 1970 TI - A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I JO - AUT Journal of Electrical Engineering JA - EEJ LA - en SN - 2588-2910 AU - Faiz, J. AU - Takbash, A. M. AU - Mazaheri-Tehrani, E. AD - School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran AD - Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada Y1 - 2017 PY - 2017 VL - 49 IS - 2 SP - 109 EP - 122 KW - Fault diagnosis KW - induction motors KW - signal processing KW - Fourier transform KW - eccentricity fault KW - broken bars fault KW - bearing fault DO - 10.22060/eej.2017.13219.5142 N2 - Abstract - 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. The Part1 of the two parts paper focuses 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 fetection in IMs are analyzed in details. Then, their competency and their drawbacks for extracting indices in transient and steady state modes are criticized from different aspects. The considerable experimental results are used to certificate demonstrated discussion. Different kinds of faults, including eccentricity, broken bar and bearing faults as major internal faults, in IMs are investigated. The use of efficient signal processing tools (SPTs) to extract proper indices for faultdetection in induction motors (IMs) is the essential part of any fault recognition procedure. In thefirst part of the present paper, we focus on Fourier-based techniques, including fast Fourier transformand short time Fourier transform. In this paper, all utilized SPTs which have been employed forfault detection in IMs are analyzed in detail. Then, their competency and their drawbacks to extractindices in transient and steady state modes are criticized from different aspects. Different kinds offaults, namely, eccentricity, broken bar, and bearing faults as the major internal faults in IMs, areinvestigated. UR - https://eej.aut.ac.ir/article_1970.html L1 - https://eej.aut.ac.ir/article_1970_041ac2f10d8a5a556c322789094e12d7.pdf ER -