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Volume 12
Issue 4
10.3390/app12042046
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Article

Application of Frequency Response Analysis Method to Detect Short-Circuit Faults in Three-Phase Induction Motors

by
Salem Mgammal Al-Ameri
1,
Ahmed Allawy Alawady
2,
Mohd Fairouz Mohd Yousof
1,*,
Muhammad Saufi Kamarudin
1,*,
Ali Ahmed Salem
3,*,
Ahmed Abu-Siada
4 and
Mohamed I. Mosaad
5
1
Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja 86400, Malaysia
2
College of Technical Engineering, The Islamic University, Najaf 54001, Iraq
3
Institute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
4
Electrical and Computer Engineering Discipline, Curtin University, Bentley, WA 6102, Australia
5
Electrical & Electronics Engineering Technology Department, Royal Commission Yanbu Colleges & Institutes, Alnahdah, Yanbu Al Sinaiyah, Yanbu 46452, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2022, 12(4), 2046; https://doi.org/10.3390/app12042046
Submission received: 23 January 2022 / Revised: 10 February 2022 / Accepted: 14 February 2022 / Published: 16 February 2022
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Abstract

The industry has widely accepted Frequency Response Analysis (FRA) as a reliable method to detect power transformers mechanical deformations. While the FRA technique has been recommended in recent literature as a potential diagnostic method to detect internal faults within rotating machines, detailed feasibility studies have not been fully addressed yet. This paper investigates the feasibility of using the FRA technique to detect several short circuit faults in the stator winding of three-phase induction motors (TPIMs). In this regard, FRA testing is conducted on two sets of induction motors with various short circuit faults. Investigated faults include short circuits between two phases, short circuit turns within the same phase, phase-to-ground, and phase-to-neutral short circuit. The measured FRA signatures are divided into three frequency ranges: low, medium, and high. Several statistical indicators are employed to quantify the variation between faulty and healthy signatures in each frequency range. Experimental results attest the feasibility of the FRA technique as a diagnostic tool to detect internal faults in rotating machines, such as induction motors.
Keywords: three-phase induction motor; frequency response analysis; fault diagnosis; short-circuit faults; statistical indicators three-phase induction motor; frequency response analysis; fault diagnosis; short-circuit faults; statistical indicators

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MDPI and ACS Style

Al-Ameri, S.M.; Alawady, A.A.; Yousof, M.F.M.; Kamarudin, M.S.; Salem, A.A.; Abu-Siada, A.; Mosaad, M.I. Application of Frequency Response Analysis Method to Detect Short-Circuit Faults in Three-Phase Induction Motors. Appl. Sci. 2022, 12, 2046. https://doi.org/10.3390/app12042046

AMA Style

Al-Ameri SM, Alawady AA, Yousof MFM, Kamarudin MS, Salem AA, Abu-Siada A, Mosaad MI. Application of Frequency Response Analysis Method to Detect Short-Circuit Faults in Three-Phase Induction Motors. Applied Sciences. 2022; 12(4):2046. https://doi.org/10.3390/app12042046

Chicago/Turabian Style

Al-Ameri, Salem Mgammal, Ahmed Allawy Alawady, Mohd Fairouz Mohd Yousof, Muhammad Saufi Kamarudin, Ali Ahmed Salem, Ahmed Abu-Siada, and Mohamed I. Mosaad. 2022. "Application of Frequency Response Analysis Method to Detect Short-Circuit Faults in Three-Phase Induction Motors" Applied Sciences 12, no. 4: 2046. https://doi.org/10.3390/app12042046

APA Style

Al-Ameri, S. M., Alawady, A. A., Yousof, M. F. M., Kamarudin, M. S., Salem, A. A., Abu-Siada, A., & Mosaad, M. I. (2022). Application of Frequency Response Analysis Method to Detect Short-Circuit Faults in Three-Phase Induction Motors. Applied Sciences, 12(4), 2046. https://doi.org/10.3390/app12042046

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