Gradient-based domain-augmented meta-learning single-domain generalization for fault diagnosis under variable operating conditions
Auteur(s): |
Chuanxia Jian
(State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China)
Heen Chen (State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China) Chaobin Zhong (State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China) Yinhui Ao (State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China) Guopeng Mo (State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou, P. R. China) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, février 2024, n. 6, v. 23 |
Page(s): | 3904-3920 |
DOI: | 10.1177/14759217241230129 |
- Informations
sur cette fiche - Reference-ID
10775584 - Publié(e) le:
29.04.2024 - Modifié(e) le:
10.11.2024