An Intelligent Fault Diagnosis for Rolling Bearing Based on Adversarial Semi-Supervised Method
Intelligent fault diagnosis of rolling bearing issues have been well addressed with the rapid growth of data scale. However, the performance of most diagnostic algorithms heavily depends on sufficient labeled samples. How to ensure the fault diagnosis accuracy with scarce labeled samples is always a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9166486/ |