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An unsupervised transfer learning approach for rolling bearing fault diagnosis based on dual pseudo-label screening

Author(s): (Suzhou University of Science and Technology, Suzhou, China)
ORCID (Suzhou University of Science and Technology, Suzhou, China)
ORCID (Suzhou University of Science and Technology, Suzhou, China)
(Suzhou University of Science and Technology, Suzhou, China)
(Suzhou University of Science and Technology, Suzhou, China)
(Suzhou University of Science and Technology, Suzhou, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217231206579
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217231206579.
  • About this
    data sheet
  • Reference-ID
    10755768
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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