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Dual generative adversarial networks combining conditional assistance and feature enhancement for imbalanced fault diagnosis

Author(s): ORCID (College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 23
Page(s): 147592172311652
DOI: 10.1177/14759217231165223
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: 10.1177/14759217231165223.
  • About this
    data sheet
  • Reference-ID
    10730063
  • Published on:
    30/05/2023
  • Last updated on:
    14/01/2024
 
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