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

Advertisement

A rolling bearing fault diagnosis method based on a convolutional neural network with frequency attention mechanism

Author(s): (Central South University of Forestry and Technology, Changsha, Hunan, China)
(Central South University, Changsha, Hunan, China)
(Central South University, Changsha, Hunan, China)
(Central South University, Changsha, Hunan, China)
ORCID (Central South University, Changsha, Hunan, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 23
Page(s): 2475-2495
DOI: 10.1177/14759217231202543
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: 10.1177/14759217231202543.
  • About this
    data sheet
  • Reference-ID
    10755771
  • Published on:
    14/01/2024
  • Last updated on:
    20/09/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine