An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery

Deep learning-based fault diagnosis usually requires a rich supply of data, but fault samples are scarce in practice, posing a considerable challenge for existing diagnosis approaches to achieve highly accurate fault detection in real applications. This paper proposes an imbalanced fault diagnosis o...

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Detalles Bibliográficos
Autores principales: Zhang, Long, Liu, Yangyuan, Zhou, Jianmin, Luo, Muxu, Pu, Shengxin, Yang, Xiaotong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692439/
https://www.ncbi.nlm.nih.gov/pubmed/36433352
http://dx.doi.org/10.3390/s22228749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692439/
https://www.ncbi.nlm.nih.gov/pubmed/36433352
http://dx.doi.org/10.3390/s22228749

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