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Lite and Efficient Deep Learning Model for Bearing Fault Diagnosis Using the CWRU Dataset
Bearing defects are a common problem in rotating machines and equipment that can lead to unexpected downtime, costly repairs, and even safety hazards. Diagnosing bearing defects is crucial for preventative maintenance, and deep learning models have shown promising results in this field. On the other...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054387/ https://www.ncbi.nlm.nih.gov/pubmed/36991869 http://dx.doi.org/10.3390/s23063157 |