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A bearing fault diagnosis method based on M-SSCNN and M-LR attention mechanism

Author(s): ORCID (College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning, China)
(College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning, China)
(School of Mechanical Engineering, Dalian Jiaotong University, Dalian, Liaoning, China)
(School of Mechanical Engineering, Dalian Jiaotong University, Dalian, Liaoning, China)
(College of Locomotive and Rolling Stock Engineering, Dalian Jiaotong University, Dalian, Liaoning, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241244477
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: 10.1177/14759217241244477.
  • About this
    data sheet
  • Reference-ID
    10789362
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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