Hu, R., Wang, J. orcid.org/0000-0003-4870-3744, Mills, A.R. orcid.org/0000-0002-6798-5284 et al. (2 more authors) (2021) High frequency voltage injection based stator inter-turn fault detection in permanent magnet machines. IEEE Transactions on Power Electronics, 36 (1). pp. 785-794. ISSN 0885-8993
Abstract
An inter-turn short-circuit fault in the stator winding of an electric machine, denoted as turn fault, has been recognized as one of the most severe faults in permanent magnet machines which requires swift and reliable detection, in order to implement appropriate mitigations. The asymmetry brought by a turn fault is widely used for the fault detection. However, similar features also emerges in a less severe high resistance connection (HRC) fault, which may led to incorrect fault identification. In this paper, a more exclusive turn fault detection method with the ability to differentiate from the HRC fault is proposed. It injects high frequency square wave voltage signals and makes use of the difference in high frequency impedance under the two fault conditions. The sensitivity to HRC fault is largely reduced. The proposed turn fault indicator is independent of operating conditions and robust with respect to state transients. This method is validated in a fault tolerant permanent magnet assisted synchronous reluctance machine drive.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 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 machines; inter-turn fault; high resistance connection fault; fault detection; high frequency voltage injection |
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: | 17 Jul 2020 10:27 |
Last Modified: | 24 May 2022 09:51 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tpel.2020.3005757 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:163385 |