Rolling Bearing Incipient Fault Diagnosis Method Based on Improved Transfer Learning with Hybrid Feature Extraction

Data-driven based rolling bearing fault diagnosis has been widely investigated in recent years. However, in real-world industry scenarios, the collected labeled samples are normally in a different data distribution. Moreover, the features of bearing fault in the early stages are extremely inconspicu...

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Detalles Bibliográficos
Autores principales: Yang, Zhengni, Yang, Rui, Huang, Mengjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659969/
https://www.ncbi.nlm.nih.gov/pubmed/34883892
http://dx.doi.org/10.3390/s21237894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659969/
https://www.ncbi.nlm.nih.gov/pubmed/34883892
http://dx.doi.org/10.3390/s21237894

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