On-line condition monitoring for diagnosis and prognosis of insulation degradation of inverter-fed machines

Tsyokhla, I., Griffo, A. orcid.org/0000-0001-5642-2921 and Wang, J. (2018) On-line condition monitoring for diagnosis and prognosis of insulation degradation of inverter-fed machines. IEEE Transactions on Industrial Electronics. ISSN 0278-0046

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 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: Condition monitoring; Dielectric constant; Fault diagnosis; Insulation; Preventative maintenance; Prognostics and health
Dates:
  • Accepted: 25 November 2018
  • Published (online): 13 December 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/P010350/1
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)EP/S00081X/1
Depositing User: Symplectic Sheffield
Date Deposited: 10 Dec 2018 10:45
Last Modified: 10 Jan 2019 14:24
Published Version: https://doi.org/10.1109/TIE.2018.2885740
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TIE.2018.2885740

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