A Novel Bearing Fault Diagnosis Method Based on Few-Shot Transfer Learning across Different Datasets

At present, the success of most intelligent fault diagnosis methods is heavily dependent on large datasets of artificial simulation faults (ASF), which have not been widely used in practice because it is often costly to obtain a large number of samples in reality. Fortunately, various faults can be...

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Detalles Bibliográficos
Autores principales: Zhang, Yizong, Li, Shaobo, Zhang, Ansi, Li, Chuanjiang, Qiu, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497688/
https://www.ncbi.nlm.nih.gov/pubmed/36141182
http://dx.doi.org/10.3390/e24091295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497688/
https://www.ncbi.nlm.nih.gov/pubmed/36141182
http://dx.doi.org/10.3390/e24091295

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