Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 49 2 2017 12 01 A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I 109 122 1970 10.22060/eej.2017.13219.5142 EN J. Faiz School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran 0000-0003-0844-8523 A. M. Takbash Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada E. Mazaheri-Tehrani School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Iran Journal Article 2017 07 31 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. <br />The use of efficient signal processing tools (SPTs) to extract proper indices for fault<br />detection in induction motors (IMs) is the essential part of any fault recognition procedure. In the<br />first part of the present paper, we focus on Fourier-based techniques, including fast Fourier transform<br />and short time Fourier transform. In this paper, all utilized SPTs which have been employed for<br />fault detection in IMs are analyzed in detail. Then, their competency and their drawbacks to extract<br />indices in transient and steady state modes are criticized from different aspects. Different kinds of<br />faults, namely, eccentricity, broken bar, and bearing faults as the major internal faults in IMs, are<br />investigated. https://eej.aut.ac.ir/article_1970_0004d0b59e19461ff126e3a08a814c33.pdf