TabNet: Locally interpretable estimation and prediction for advanced proton exchange membrane fuel cell health management

Zhang, B., Jin, X., Liang, W. et al. (5 more authors) (2024) TabNet: Locally interpretable estimation and prediction for advanced proton exchange membrane fuel cell health management. Electronics, 13 (7). 1358. ISSN 1450-5843

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Item Type: Article
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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: PEMFC; RUL; TabNet; interpretable; PHM
Dates:
  • Published: 1 April 2024
  • Published (online): 3 April 2024
  • Accepted: 23 March 2024
  • Submitted: 1 March 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 14 May 2024 11:45
Last Modified: 14 May 2024 11:45
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/electronics13071358
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