Detection and classification of turn fault and high-resistance connection fault in inverter-fed permanent magnet machines based on high-frequency signals

Hu, R., Wang, J. orcid.org/0000-0003-4870-3744, Mills, A. et al. (2 more authors) (2019) Detection and classification of turn fault and high-resistance connection fault in inverter-fed permanent magnet machines based on high-frequency signals. In: Journal of Engineering. The 9th International Conference on Power Electronics, Machines and Drives (PEMD 2018), 17-19 Apr 2018, Liverpool, UK. Institution of Engineering and Technology (IET) , 4278 -4282.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 The Author(s). This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Keywords: permanent magnet motors; invertors; permanent magnet machines; fault diagnosis; inverter-fed permanent magnet machines; resultant high-frequency components; different mitigation actions; winding turn fault; three-phase surface-mounted permanent magnet machine; high-frequency impedance; fault detection; pulse-width-modulation voltages; classification; ripple; HRC fault; different consequences; high-frequency signals; high-resistance connection fault
Dates:
  • Accepted: 30 July 2018
  • Published (online): 13 May 2019
  • Published: 22 January 2019
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:
FunderGrant number
ROLLS-ROYCE PLC (UK)4600177781
Depositing User: Symplectic Sheffield
Date Deposited: 03 Jul 2019 15:53
Last Modified: 03 Jul 2019 16:15
Status: Published
Publisher: Institution of Engineering and Technology (IET)
Refereed: Yes
Identification Number: https://doi.org/10.1049/joe.2018.8253

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