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 condition...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Ameri, Salem Mgammal, Abdul Malek, Zulkurnain, Salem, Ali Ahmed, Ahmad Noorden, Zulkarnain, Alawady, Ahmed Allawy, Mohd. Yousof, Mohd. Fairouz, Mosaad, Mohamed Ibrahim, Abu Siada, Ahmed, Thabit, Hammam Abdurabu
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:http://eprints.utm.my/105250/1/AliAhmedSalem2023_FrequencyResponseAnalysisforThree.pdf
http://eprints.utm.my/105250/
http://dx.doi.org/10.3390/machines11010106
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.105250
record_format eprints
spelling my.utm.1052502024-04-17T06:23:04Z http://eprints.utm.my/105250/ Frequency response analysis for three-phase star and delta induction motors: pattern recognition and fault analysis using statistical indicators Al-Ameri, Salem Mgammal Abdul Malek, Zulkurnain Salem, Ali Ahmed Ahmad Noorden, Zulkarnain Alawady, Ahmed Allawy Mohd. Yousof, Mohd. Fairouz Mosaad, Mohamed Ibrahim Abu Siada, Ahmed Thabit, Hammam Abdurabu TK Electrical engineering. Electronics Nuclear engineering 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 2023-01 Article PeerReviewed application/pdf en http://eprints.utm.my/105250/1/AliAhmedSalem2023_FrequencyResponseAnalysisforThree.pdf Al-Ameri, Salem Mgammal and Abdul Malek, Zulkurnain and Salem, Ali Ahmed and Ahmad Noorden, Zulkarnain and Alawady, Ahmed Allawy and Mohd. Yousof, Mohd. Fairouz and Mosaad, Mohamed Ibrahim and Abu Siada, Ahmed and Thabit, Hammam Abdurabu (2023) Frequency response analysis for three-phase star and delta induction motors: pattern recognition and fault analysis using statistical indicators. Machines, 11 (1). pp. 1-18. ISSN 2075-1702 http://dx.doi.org/10.3390/machines11010106 DOI:10.3390/machines11010106
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Al-Ameri, Salem Mgammal
Abdul Malek, Zulkurnain
Salem, Ali Ahmed
Ahmad Noorden, Zulkarnain
Alawady, Ahmed Allawy
Mohd. Yousof, Mohd. Fairouz
Mosaad, Mohamed Ibrahim
Abu Siada, Ahmed
Thabit, Hammam Abdurabu
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 Al-Ameri, Salem Mgammal
Abdul Malek, Zulkurnain
Salem, Ali Ahmed
Ahmad Noorden, Zulkarnain
Alawady, Ahmed Allawy
Mohd. Yousof, Mohd. Fairouz
Mosaad, Mohamed Ibrahim
Abu Siada, Ahmed
Thabit, Hammam Abdurabu
author_facet Al-Ameri, Salem Mgammal
Abdul Malek, Zulkurnain
Salem, Ali Ahmed
Ahmad Noorden, Zulkarnain
Alawady, Ahmed Allawy
Mohd. Yousof, Mohd. Fairouz
Mosaad, Mohamed Ibrahim
Abu Siada, Ahmed
Thabit, Hammam Abdurabu
author_sort Al-Ameri, Salem Mgammal
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.utm.my/105250/1/AliAhmedSalem2023_FrequencyResponseAnalysisforThree.pdf
http://eprints.utm.my/105250/
http://dx.doi.org/10.3390/machines11010106
_version_ 1797905981648142336