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An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion
It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor operations in a reliable and intelligent way. How...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490808/ https://www.ncbi.nlm.nih.gov/pubmed/37688019 http://dx.doi.org/10.3390/s23177567 |