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Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor

In this study, a cost-effective and non-invasive detection strategy is proposed for three-phase line start permanent magnet synchronous motor (LSPMSM) under mixed eccentricity fault using motor current signature analysis. In this respect, theory of air gap magnetic field in eccentric LSPMSM is prese...

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Main Authors: Karami, Mahdi, Mariun, Norman, Ab Kadir, Mohd Zainal Abidin, Misron, Norhisam, Mohd Radzi, Mohd Amran
Format: Article
Published: Taylor and Francis Group 2021
Online Access:http://psasir.upm.edu.my/id/eprint/94279/
https://www.tandfonline.com/doi/abs/10.1080/15325008.2021.1937386
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spelling my.upm.eprints.942792023-05-08T04:33:16Z http://psasir.upm.edu.my/id/eprint/94279/ Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor Karami, Mahdi Mariun, Norman Ab Kadir, Mohd Zainal Abidin Misron, Norhisam Mohd Radzi, Mohd Amran In this study, a cost-effective and non-invasive detection strategy is proposed for three-phase line start permanent magnet synchronous motor (LSPMSM) under mixed eccentricity fault using motor current signature analysis. In this respect, theory of air gap magnetic field in eccentric LSPMSM is presented. The detection strategy is examined through modeling and experimental studies. Two-dimensional time stepping finite element method is employed to calculate the motor parameters. Effects of mechanical load and fault severity on eccentric LSPMSM are also investigated. Different fault-related components are scrutinized and the most effective features are identified for this new type of electrical motor. The results indicate that amplitudes of fault-related components at rotor frequency are precise for early detection of mixed eccentricity in LSPMSM. Finally, an efficient frequency pattern as well as detection criterion is specified. Taylor and Francis Group 2021-06-30 Article PeerReviewed Karami, Mahdi and Mariun, Norman and Ab Kadir, Mohd Zainal Abidin and Misron, Norhisam and Mohd Radzi, Mohd Amran (2021) Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor. Electric Power Components and Systems, 49 (1-2). 133 - 145. ISSN 1532-5008; ESSN: 1532-5016 https://www.tandfonline.com/doi/abs/10.1080/15325008.2021.1937386 10.1080/15325008.2021.1937386
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description In this study, a cost-effective and non-invasive detection strategy is proposed for three-phase line start permanent magnet synchronous motor (LSPMSM) under mixed eccentricity fault using motor current signature analysis. In this respect, theory of air gap magnetic field in eccentric LSPMSM is presented. The detection strategy is examined through modeling and experimental studies. Two-dimensional time stepping finite element method is employed to calculate the motor parameters. Effects of mechanical load and fault severity on eccentric LSPMSM are also investigated. Different fault-related components are scrutinized and the most effective features are identified for this new type of electrical motor. The results indicate that amplitudes of fault-related components at rotor frequency are precise for early detection of mixed eccentricity in LSPMSM. Finally, an efficient frequency pattern as well as detection criterion is specified.
format Article
author Karami, Mahdi
Mariun, Norman
Ab Kadir, Mohd Zainal Abidin
Misron, Norhisam
Mohd Radzi, Mohd Amran
spellingShingle Karami, Mahdi
Mariun, Norman
Ab Kadir, Mohd Zainal Abidin
Misron, Norhisam
Mohd Radzi, Mohd Amran
Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
author_facet Karami, Mahdi
Mariun, Norman
Ab Kadir, Mohd Zainal Abidin
Misron, Norhisam
Mohd Radzi, Mohd Amran
author_sort Karami, Mahdi
title Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
title_short Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
title_full Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
title_fullStr Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
title_full_unstemmed Motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
title_sort motor current signature analysis-based non-invasive recognition of mixed eccentricity fault in line start permanent magnet synchronous motor
publisher Taylor and Francis Group
publishDate 2021
url http://psasir.upm.edu.my/id/eprint/94279/
https://www.tandfonline.com/doi/abs/10.1080/15325008.2021.1937386
_version_ 1768009397208875008
score 13.211869

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