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...

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Detalles Bibliográficos
Autores principales: Yoo, Yubin, Jo, Hangyeol, Ban, Sang-Woo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054387/
https://www.ncbi.nlm.nih.gov/pubmed/36991869
http://dx.doi.org/10.3390/s23063157

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