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

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 conditio...

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Main Authors: Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri, Zulkurnain Abdul-Malek, Zulkurnain Abdul-Malek, Ali Ahmed Salem, Ali Ahmed Salem, Zulkarnain Ahmad Noorden, Zulkarnain Ahmad Noorden, Ahmed Allawy Alawady, Ahmed Allawy Alawady, Mohd Yousof, Mohd Fairouz, Mohamed Ibrahim Mosaad, Mohamed Ibrahim Mosaad, Ahmed Abu-Siada, Ahmed Abu-Siada, Hammam Abdurabu Thabit, Hammam Abdurabu Thabit
Format: Article
Language:en
Published: Mdpi 2023
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Online Access:http://eprints.uthm.edu.my/10151/1/J16314_f7811d569fa7802dee03e32d0f2e7342.pdf
http://eprints.uthm.edu.my/10151/
https://doi.org/10.3390/machines11010106
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author Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri
Zulkurnain Abdul-Malek, Zulkurnain Abdul-Malek
Ali Ahmed Salem, Ali Ahmed Salem
Zulkarnain Ahmad Noorden, Zulkarnain Ahmad Noorden
Ahmed Allawy Alawady, Ahmed Allawy Alawady
Mohd Yousof, Mohd Fairouz
Mohamed Ibrahim Mosaad, Mohamed Ibrahim Mosaad
Ahmed Abu-Siada, Ahmed Abu-Siada
Hammam Abdurabu Thabit, Hammam Abdurabu Thabit
author_facet Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri
Zulkurnain Abdul-Malek, Zulkurnain Abdul-Malek
Ali Ahmed Salem, Ali Ahmed Salem
Zulkarnain Ahmad Noorden, Zulkarnain Ahmad Noorden
Ahmed Allawy Alawady, Ahmed Allawy Alawady
Mohd Yousof, Mohd Fairouz
Mohamed Ibrahim Mosaad, Mohamed Ibrahim Mosaad
Ahmed Abu-Siada, Ahmed Abu-Siada
Hammam Abdurabu Thabit, Hammam Abdurabu Thabit
author_sort Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
description 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.
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institution Universiti Tun Hussein Onn Malaysia
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publishDate 2023
publisher Mdpi
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spelling my.uthm.eprints-101512023-10-17T07:40:23Z http://eprints.uthm.edu.my/10151/ Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri Zulkurnain Abdul-Malek, Zulkurnain Abdul-Malek Ali Ahmed Salem, Ali Ahmed Salem Zulkarnain Ahmad Noorden, Zulkarnain Ahmad Noorden Ahmed Allawy Alawady, Ahmed Allawy Alawady Mohd Yousof, Mohd Fairouz Mohamed Ibrahim Mosaad, Mohamed Ibrahim Mosaad Ahmed Abu-Siada, Ahmed Abu-Siada Hammam Abdurabu Thabit, Hammam Abdurabu Thabit T Technology (General) 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. Mdpi 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/10151/1/J16314_f7811d569fa7802dee03e32d0f2e7342.pdf Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri and Zulkurnain Abdul-Malek, Zulkurnain Abdul-Malek and Ali Ahmed Salem, Ali Ahmed Salem and Zulkarnain Ahmad Noorden, Zulkarnain Ahmad Noorden and Ahmed Allawy Alawady, Ahmed Allawy Alawady and Mohd Yousof, Mohd Fairouz and Mohamed Ibrahim Mosaad, Mohamed Ibrahim Mosaad and Ahmed Abu-Siada, Ahmed Abu-Siada and Hammam Abdurabu Thabit, 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 (106). pp. 1-18. https://doi.org/10.3390/machines11010106
spellingShingle T Technology (General)
Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri
Zulkurnain Abdul-Malek, Zulkurnain Abdul-Malek
Ali Ahmed Salem, Ali Ahmed Salem
Zulkarnain Ahmad Noorden, Zulkarnain Ahmad Noorden
Ahmed Allawy Alawady, Ahmed Allawy Alawady
Mohd Yousof, Mohd Fairouz
Mohamed Ibrahim Mosaad, Mohamed Ibrahim Mosaad
Ahmed Abu-Siada, Ahmed Abu-Siada
Hammam Abdurabu Thabit, Hammam Abdurabu Thabit
Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
title Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
title_full Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
title_fullStr Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
title_full_unstemmed Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
title_short Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
title_sort frequency response analysis for three-phase star and delta induction motors: pattern recognition and fault analysis using statistical indicators
topic T Technology (General)
url http://eprints.uthm.edu.my/10151/1/J16314_f7811d569fa7802dee03e32d0f2e7342.pdf
http://eprints.uthm.edu.my/10151/
https://doi.org/10.3390/machines11010106
url_provider http://eprints.uthm.edu.my/