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
Format: Article
Language:English
Published: Mdpi 2023
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Online Access:http://eprints.uthm.edu.my/10742/1/J16314_f7811d569fa7802dee03e32d0f2e7342.pdf
http://eprints.uthm.edu.my/10742/
https://doi.org/10.3390/machines11010106
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English
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spelling my.uthm.eprints.107422024-01-17T01:51:08Z http://eprints.uthm.edu.my/10742/ 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 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/10742/1/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 (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
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
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
Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators
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.
format Article
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
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
author_sort Salem Mgammal Al-Ameri, Salem Mgammal Al-Ameri
title 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_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_sort frequency response analysis for three-phase star and delta induction motors: pattern recognition and fault analysis using statistical indicators
publisher Mdpi
publishDate 2023
url http://eprints.uthm.edu.my/10742/1/J16314_f7811d569fa7802dee03e32d0f2e7342.pdf
http://eprints.uthm.edu.my/10742/
https://doi.org/10.3390/machines11010106
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