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Detection and Identification of Demagnetization and Bearing Faults in PMSM Using Transfer Learning-Based VGG
Predictive maintenance in the permanent magnet synchronous motor (PMSM) is of paramount importance due to its usage in electric vehicles and other applications. Recently various deep learning techniques are applied for fault detection and identification (FDI). However, it is very hard to optimally t...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2020-07-01
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| Colecção: | Energies |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1996-1073/13/15/3834 |
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