Fault diagnosis of rolling bearings based on GAF and DenseNet
The model-based and signal-based rolling bearing fault diagnosis methods have problems such as difficult modeling and cumbersome signal analysis. The data-driven rolling bearing fault diagnosis methods mostly use convolutional neural networks, but as the number of network layers increases during net...
| Published in: | Gong-kuang zidonghua |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | Chinese |
| Published: |
Editorial Department of Industry and Mine Automation
2021-08-01
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| Subjects: | |
| Online Access: | http://www.gkzdh.cn/jn-abD.aspx?ArticleID=14639 |