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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/11/1/106 |
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| author | Salem Mgammal Al-Ameri Zulkurnain Abdul-Malek Ali Ahmed Salem Zulkarnain Ahmad Noorden Ahmed Allawy Alawady Mohd Fairouz Mohd Yousof Mohamed Ibrahim Mosaad Ahmed Abu-Siada Hammam Abdurabu Thabit |
| author_facet | Salem Mgammal Al-Ameri Zulkurnain Abdul-Malek Ali Ahmed Salem Zulkarnain Ahmad Noorden Ahmed Allawy Alawady Mohd Fairouz Mohd Yousof Mohamed Ibrahim Mosaad Ahmed Abu-Siada Hammam Abdurabu Thabit |
| author_sort | Salem Mgammal Al-Ameri |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-09T11:53:40Z |
| format | Article |
| id | doaj.art-c881d0b22c6e4ebbb04bf1abd00e4194 |
| institution | Directory Open Access Journal |
| issn | 2075-1702 |
| language | English |
| last_indexed | 2024-03-09T11:53:40Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj.art-c881d0b22c6e4ebbb04bf1abd00e41942023-11-30T23:11:58ZengMDPI AGMachines2075-17022023-01-0111110610.3390/machines11010106Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical IndicatorsSalem Mgammal Al-Ameri0Zulkurnain Abdul-Malek1Ali Ahmed Salem2Zulkarnain Ahmad Noorden3Ahmed Allawy Alawady4Mohd Fairouz Mohd Yousof5Mohamed Ibrahim Mosaad6Ahmed Abu-Siada7Hammam Abdurabu Thabit8Institute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, MalaysiaInstitute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, MalaysiaInstitute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, MalaysiaInstitute of High Voltage and High Current, School of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, MalaysiaCollege of Technical Engineering, The Islamic University, Najaf 54001, IraqFaculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja 86400, MalaysiaElectrical Engineering Department, Faculty of Engineering, Damietta University, Damietta 34517, EgyptElectrical and Computer Engineering Department, Curtin University, Bentley, WA 6152, AustraliaSchool of Physics, Universiti Sains Malaysia, George Town 11800, MalaysiaThis 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.https://www.mdpi.com/2075-1702/11/1/106induction motors (IMs)frequency response analysis (FRA)pattern recognitionfault detectionstatistical indicators |
| spellingShingle | Salem Mgammal Al-Ameri Zulkurnain Abdul-Malek Ali Ahmed Salem Zulkarnain Ahmad Noorden Ahmed Allawy Alawady Mohd Fairouz Mohd Yousof Mohamed Ibrahim Mosaad Ahmed Abu-Siada Hammam Abdurabu Thabit Frequency Response Analysis for Three-Phase Star and Delta Induction Motors: Pattern Recognition and Fault Analysis Using Statistical Indicators Machines induction motors (IMs) frequency response analysis (FRA) pattern recognition fault detection 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 | induction motors (IMs) frequency response analysis (FRA) pattern recognition fault detection statistical indicators |
| url | https://www.mdpi.com/2075-1702/11/1/106 |
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