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Multi-source information fusion meta-learning network with convolutional block attention module for bearing fault diagnosis under limited dataset

Author(s): (School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China)
ORCID (School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China)
(School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China)
(School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China)
(School of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei, PR China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 2, v. 23
Page(s): 147592172311760
DOI: 10.1177/14759217231176045
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: 10.1177/14759217231176045.
  • About this
    data sheet
  • Reference-ID
    10732140
  • Published on:
    21/06/2023
  • Last updated on:
    15/03/2024
 
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