Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies

Doorsamy, W. orcid.org/0000-0001-9043-9882 (2025) Condition Monitoring of Electric Machines: Modern Frameworks and Data-Driven Methodologies. Machines, 13 (2). 144. ISSN 2075-1702

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2025 by the author. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: condition monitoring; data-driven; rotating electrical machines; maintenance strategy
Dates:
  • Published: February 2025
  • Published (online): 13 February 2025
  • Accepted: 12 February 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 Feb 2025 12:36
Last Modified: 19 Feb 2025 12:36
Status: Published
Publisher: MDPI
Identification Number: 10.3390/machines13020144
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 7: Affordable and Clean Energy
  • Sustainable Development Goals: Goal 13: Climate Action
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