Optimal transport based deep domain adaptation approach for fault diagnosis of rotating machine

Liu, Z.-H., Jiang, L.-B., Wei, H.-L. orcid.org/0000-0002-4704-7346 et al. (2 more authors) (2021) Optimal transport based deep domain adaptation approach for fault diagnosis of rotating machine. IEEE Transactions on Instrumentation and Measurement, 70. 3508912. ISSN 0018-9456

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Keywords: Autoencoder; deep learning; domain adaptation; fault diagnosis; optimal transport; rotating machine; transfer learning
Dates:
  • Accepted: 29 December 2020
  • Published (online): 8 January 2021
  • Published: 8 January 2021
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: 15 Jan 2021 09:21
Last Modified: 10 Feb 2022 12:37
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tim.2021.3050173

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