Intelligent fault diagnosis of hoisting systems under complex working conditions using deep graph convolutional generative adversarial networks with limited data
Autor(en): |
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) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring |
DOI: | 10.1177/14759217241279789 |
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Datenseite - Reference-ID
10806183 - Veröffentlicht am:
10.11.2024 - Geändert am:
10.11.2024