Intelligent Diagnosis of Rolling Bearing Fault Based on Improved Convolutional Neural Network and LightGBM
Aiming at the problems of weak generalization ability and long training time in most fault diagnosis models based on deep learning, such as support vector machines and random forest algorithms, one intelligent diagnosis method of rolling bearing fault based on the improved convolution neural network...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2021-01-01
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| Colección: | Shock and Vibration |
| Acceso en línea: | http://dx.doi.org/10.1155/2021/1205473 |
| Etiquetas: |
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