Deep learning for bearing fault diagnosis under different working loads and non-fault location point
Intelligent fault diagnosis using deep learning has achieved much success in recent years. Using deep learning method to diagnose bearing fault requires designing an appropriate neural network model and then train with a massive data. On the one hand, up to now, a variety of neural network structure...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2021-03-01
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| Series: | Journal of Low Frequency Noise, Vibration and Active Control |
| Online Access: | https://doi.org/10.1177/1461348419889511 |