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Article

Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators

by
Salem Mgammal Al-Ameri
1,2,
Zulkurnain Abdul-Malek
1,
Ali Ahmed Salem
1,*,
Zulkarnain Ahmad Noorden
1,
Ahmed Allawy Alawady
3,4,
Mohd Fairouz Mohd Yousof
4,
Mohamed Ibrahim Mosaad
5,
Ahmed Abu-Siada
6 and
Hammam Abdurabu Thabit
7
1
Institute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
2
Department of Electrical & Computer Engineering, Curtin University Malaysia, Miri 98009, Malaysia
3
College of Technical Engineering, The Islamic University, Najaf 54001, Iraq
4
Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja 86400, Malaysia
5
Electrical Engineering Department, Faculty of Engineering, Damietta University, Damietta 34517, Egypt
6
Electrical and Computer Engineering Department, Curtin University, Bentley, WA 6152, Australia
7
School of Physics, Universiti Sains Malaysia, George Town 11800, Malaysia
*
Author to whom correspondence should be addressed.
Machines 2023, 11(1), 106; https://doi.org/10.3390/machines11010106
Submission received: 26 November 2022 / Revised: 5 January 2023 / Accepted: 9 January 2023 / Published: 13 January 2023
(This article belongs to the Special Issue Fault Diagnosis and Health Management of Power Machinery)
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Abstract

This paper presents a new investigation to detect various faults within the three-phase star and delta induction motors (IMs) using a frequency response analysis (FRA). In this regard, experimental measurements using FRA are performed on three IMs of ratings 1 HP, 3 HP and 5.5 HP in normal conditions, short-circuit fault (SC) and open-circuit fault (OC) conditions. The SC and OC faults are applied artificially between the turns (Turn-to-Turn), between the coils (Coil-to-Coil) and between the phases (Phase-to-Phase). The obtained measurements show that the star and delta IMs result in dissimilar FRA signatures for the normal and faulty windings. Various statistical indicators are used to quantify the deviations between the normal and faulty FRA signatures. The calculation is performed in three frequency ranges: low, middle and high ones, as the winding parameters including resistive, inductive and capacitive components dominate the frequency characteristics at different frequency ranges. Consequently, it is proposed that the boundaries for the used indicators facilitate fault identification and quantification.
Keywords: induction motors (IMs); frequency response analysis (FRA); pattern recognition; fault detection; statistical indicators induction motors (IMs); frequency response analysis (FRA); pattern recognition; fault detection; statistical indicators

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MDPI and ACS Style

Al-Ameri, S.M.; Abdul-Malek, Z.; Salem, A.A.; Noorden, Z.A.; Alawady, A.A.; Yousof, M.F.M.; Mosaad, M.I.; Abu-Siada, A.; Thabit, H.A. Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators. Machines 2023, 11, 106. https://doi.org/10.3390/machines11010106

AMA Style

Al-Ameri SM, Abdul-Malek Z, Salem AA, Noorden ZA, Alawady AA, Yousof MFM, Mosaad MI, Abu-Siada A, Thabit HA. Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators. Machines. 2023; 11(1):106. https://doi.org/10.3390/machines11010106

Chicago/Turabian Style

Al-Ameri, Salem Mgammal, Zulkurnain Abdul-Malek, Ali Ahmed Salem, Zulkarnain Ahmad Noorden, Ahmed Allawy Alawady, Mohd Fairouz Mohd Yousof, Mohamed Ibrahim Mosaad, Ahmed Abu-Siada, and Hammam Abdurabu Thabit. 2023. "Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators" Machines 11, no. 1: 106. https://doi.org/10.3390/machines11010106

APA Style

Al-Ameri, S. M., Abdul-Malek, Z., Salem, A. A., Noorden, Z. A., Alawady, A. A., Yousof, M. F. M., Mosaad, M. I., Abu-Siada, A., & Thabit, H. A. (2023). Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators. Machines, 11(1), 106. https://doi.org/10.3390/machines11010106

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