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Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction
Convolutional Neural Network (CNN) has been extensively used in bearing fault diagnosis and Remaining Useful Life (RUL) prediction. However, accompanied by CNN’s increasing performance is a deeper network structure and growing parameter size. This prevents it from being deployed in industrial applic...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073187/ https://www.ncbi.nlm.nih.gov/pubmed/37015955 http://dx.doi.org/10.1038/s41598-023-31532-9 |