A multiscale convolution neural network for bearing fault diagnosis based on frequency division denoising under complex noise conditions
Abstract The condition of bearings has a significant impact on the healthy operation of mechanical equipment, which leads to a tremendous attention on fault diagnosis algorithms. However, due to the complex working environment and severe noise interference, training a robust bearing fault diagnosis...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2022-12-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-022-00925-0 |