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An unsupervised transfer network with adaptive input and dynamic channel pruning for train axle bearing fault diagnosis

Author(s): (State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China)
(State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China)
(Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK)
(State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China)
(State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China)
ORCID (State Key Laboratory of Rail Transit Vehicle System, Southwest Jiaotong University, Chengdu, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241261926
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: 10.1177/14759217241261926.
  • About this
    data sheet
  • Reference-ID
    10797483
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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