Bearing Fault Diagnosis of End-to-End Model Design Based on 1DCNN-GRU Network
At present, the complex and varying operating conditions of bearings make the feature extraction become difficult and lack adaptability. An end-to-end fault diagnosis is proposed. A convolutional neural network (CNN) is good at mining spatial features of samples and has the advantage of “end-to-end....
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/7167821 |
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