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Wasserstein bi-classifier adversarial learning network for machinery fault diagnostics

Auteur(s): (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
ORCID (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
ORCID (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
Médium: article de revue
Langue(s): anglais
Publié dans: Structural Health Monitoring
DOI: 10.1177/14759217241266893
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1177/14759217241266893.
  • Informations
    sur cette fiche
  • Reference-ID
    10797512
  • Publié(e) le:
    01.09.2024
  • Modifié(e) le:
    01.09.2024
 
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