Fault diagnosis of rolling bearing based on singular spectrum analysis and wide convolution kernel neural network
Research on bearing fault diagnosis generally uses a single signal processing method to extract features to a certain extent and then empirically judges the fault type at this stage. However, this approach has a poor fault feature extraction effect when the noise interference signal is large and sub...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2022-12-01
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| Series: | Journal of Low Frequency Noise, Vibration and Active Control |
| Online Access: | https://doi.org/10.1177/14613484221104639 |