A rolling bearing fault diagnosis method based on interactive generative feature space oversampling-based autoencoder under imbalanced data
| Author(s): |
Fengfei Huang
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China)
Kai Zhang 
(School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China)
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
(School of Ocean Engineering, Harbin Institute of Technology at Weihai, Weihai, Shandong, China)
Yuehong Zhang (Chengdu Institute of Special Equipment Inspection and Testing, Chengdu, Sichuan, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241248209 |
- About this
data sheet - Reference-ID
10789348 - Published on:
20/06/2024 - Last updated on:
20/06/2024
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