0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Intelligent fault diagnosis of high-speed train axle box bearings under parameter fluctuation working conditions using continuous cohomology-based meta-transfer learning framework

Author(s): ORCID (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
(Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu, China)
ORCID (School of Mechanical Engineering, Southeast University, Nanjing, People’s Republic of China)
(Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241293702
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: 10.1177/14759217241293702.
  • About this
    data sheet
  • Reference-ID
    10812097
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine