Research on an intelligent diagnosis method of mechanical faults for small sample data sets

The difficulty of feature extraction and the small sample size are two challenges in the field of mechanical fault diagnosis for a long time. Here we propose an intelligent mechanical fault diagnosis method for scenario with small sample datasets. This method can not only diagnose bearing faults but...

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Detalles Bibliográficos
Autores principales: Zhao, Jun, Shi, Yuhua, Tan, Feng, Wang, Xufeng, Zhang, Youqiang, Liao, Jiean, Yang, Fan, Guo, Zhanhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768155/
https://www.ncbi.nlm.nih.gov/pubmed/36539540
http://dx.doi.org/10.1038/s41598-022-26316-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768155/
https://www.ncbi.nlm.nih.gov/pubmed/36539540
http://dx.doi.org/10.1038/s41598-022-26316-6

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