Gradient-based domain-augmented meta-learning single-domain generalization for fault diagnosis under variable operating conditions
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, February 2024, n. 6, v. 23 |
| Page(s): | 3904-3920 |
| DOI: | 10.1177/14759217241230129 |
- About this
data sheet - Reference-ID
10775584 - Published on:
29/04/2024 - Last updated on:
10/11/2024
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