Intelligent fault diagnosis of hoisting systems under complex working conditions using deep graph convolutional generative adversarial networks with limited data
| Auteur(s): |
Yang Li
(Institute of Smart City and Intelligent Transportation, Southwest Jiaotong University, Chengdu, China)
Xiangyin Meng
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China)
Feiyun Xu
(School of Mechanical Engineering, Southeast University, Nanjing, China)
Shide Xiao (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, China) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241279789 |
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sur cette fiche - Reference-ID
10806183 - Publié(e) le:
10.11.2024 - Modifié(e) le:
10.11.2024
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