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Neighborhood graph embedding interpretable fault diagnosis network based on local and non-local information balanced under imbalanced samples

Author(s): (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China)
ORCID (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China)
(College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China)
(College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China)
(College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, People’s Republic of China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 22
Page(s): 147592172211128
DOI: 10.1177/14759217221112835
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: 10.1177/14759217221112835.
  • About this
    data sheet
  • Reference-ID
    10689845
  • Published on:
    13/08/2022
  • Last updated on:
    30/05/2023
 
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