A Semi-Supervised Approach to Bearing Fault Diagnosis under Variable Conditions towards Imbalanced Unlabeled Data

Fault diagnosis of rolling element bearings is an effective technology to ensure the steadiness of rotating machineries. Most of the existing fault diagnosis algorithms are supervised methods and generally require sufficient labeled data for training. However, the acquisition of labeled samples is o...

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Detalles Bibliográficos
Autores principales: Chen, Xinan, Wang, Zhipeng, Zhang, Zhe, Jia, Limin, Qin, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068608/
https://www.ncbi.nlm.nih.gov/pubmed/29966321
http://dx.doi.org/10.3390/s18072097

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068608/
https://www.ncbi.nlm.nih.gov/pubmed/29966321
http://dx.doi.org/10.3390/s18072097

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