Journal of Electronics and Informatics
IRO Journals
Volume 3 — Issue 1 — March 2021

Comparative Analysis of Signal Processing Techniques for Fault Detection in Three Phase Induction Motor

https://doi.org/10.36548/jei.2021.1.006
Thomas Amanuel
Graduate Assistant, Mainefhi College of Engineering, Asmara, Ministry of Education
Amanuel Ghirmay
Mainefhi College of Engineering
Huruy Ghebremeskel
Mainefhi College of Engineering
Robel Ghebrehiwet & Weldekidan Bahlibi
Mainefhi College of Engineering
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How to Cite

Amanuel, Thomas, Amanuel Ghirmay, Huruy Ghebremeskel, and Robel Ghebrehiwet & Weldekidan Bahlibi. 2021. “Comparative Analysis of Signal Processing Techniques for Fault Detection in Three Phase Induction Motor”. Journal of Electronics and Informatics 3 (1): 61-76. https://doi.org/10.36548/jei.2021.1.006.
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Keywords

— Induction Motor
— STFT
— Matlab / Simulink
— Current Signature Analysis
— Power Supply Imbalance
— Single Phasing
— Broken Rotor Bar
Published: 19-04-2021

Abstract

Signal processing is considered as an efficient technique to detect the faults in three-phase induction motors. Detection of different varieties of faults in the rotor of the motor are widely studied at the industrial level. To extend further, this research article presents the analysis on various signal processing techniques for fault detection in three-phase induction motor due to the damages in rotor bar. Usually, Fast Fourier Transform (FFT) and STFT are used to analyze the healthy and faulty motor conditions based on the signal characteristics. The proposed study covers the advantages and limitations of the proposed wavelet transform (WT) and each technique for detecting the broken bar of induction motors. The good frequency information can be collected from FFT techniques for handling multiple faults identification in three-phase induction motor. Despite the hype, the detection accuracy gets reduced during the dynamic condition of the machine because the frequency information on sudden time changes cannot be employed by FFT. The WT method signal analysis is compared with FFT to propose fault detection method for induction motor. The WT method is proving better accuracy when compared to all existing methods for signal information analysis. The proposed research work has simulated the proposed method with MATLAB / SIMULINK and it helps to effectively detect the healthy and faulty conditions of the motor.

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