Multi-Scale Recursive Semi-Supervised Deep Learning Fault Diagnosis Method with Attention Gate
The efficiency of deep learning-based fault diagnosis methods for bearings is affected by the sample size of the labeled data, which might be insufficient in the engineering field. Self-training is a commonly used semi-supervised method, which is usually limited by the accuracy of features for unlab...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2023-01-01
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| Series: | Machines |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2075-1702/11/2/153 |
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