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Gradient-based domain-augmented meta-learning single-domain generalization for fault diagnosis under variable operating conditions

Auteur(s): ORCID (State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China)
(State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China)
(State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China)
(State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China)
(State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China)
Médium: article de revue
Langue(s): anglais
Publié dans: Structural Health Monitoring
DOI: 10.1177/14759217241230129
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1177/14759217241230129.
  • Informations
    sur cette fiche
  • Reference-ID
    10775584
  • Publié(e) le:
    29.04.2024
  • Modifié(e) le:
    29.04.2024
 
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