Hu, R., Wang, J., Mills, A.R. et al. (2 more authors) (2020) Detection and classification of turn fault and high resistance connection fault in permanent magnet machines based on zero sequence voltage. IEEE Transactions on Power Electronics, 35 (2). pp. 1922-1933. ISSN 0885-8993
Abstract
Health monitoring and fault detection are becoming more and more important in electrical machine systems due to the increasing demand for reliability. Winding turn fault is a common fault in permanent magnet machines which can cause severe damages and requires prompt detection and mitigation. High resistance connection (HRC) fault which result in phase asymmetry may also occur but does not require immediate shutdown. Thus, apart from the fault detection, the classification between the two faults is also required. In this paper, a new technique for detecting and classifying turn fault and HRC fault by utilizing both the high and low frequency components of the zero sequence voltage is proposed. The dependence on the operating conditions is minimized with the proposed fault indicators. The effectiveness of fault detection and classification has been verified by extensive experimental tests on a triple redundant fault tolerant permanent magnet assisted synchronous reluctance machine (PMA SynRM). The robustness of the turn fault detection in transient states and under no load conditions has also been demonstrated.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Permanent magnet machine; turn fault; high resistance connection (HRC) fault; fault detection and classification; zero sequence voltage |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Funding Information: | Funder Grant number INNOVATE UK (TSB) TS/P00184X/1 70117-263238 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Jun 2019 11:01 |
Last Modified: | 07 Dec 2021 14:01 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/tpel.2019.2922114 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:147937 |