A rolling bearing fault diagnosis method based on interactive generative feature space oversampling-based autoencoder under imbalanced data
Autor(en): |
Fengfei Huang
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China)
Kai Zhang Zhixuan Li (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China) Qing Zheng (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China) Guofu Ding (School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China) Minghang Zhao Yuehong Zhang (Chengdu Institute of Special Equipment Inspection and Testing, Chengdu, Sichuan, China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring |
DOI: | 10.1177/14759217241248209 |
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Datenseite - Reference-ID
10789348 - Veröffentlicht am:
20.06.2024 - Geändert am:
20.06.2024