A Probabilistic Bayesian Parallel Deep Learning Framework for Wind Turbine Bearing Fault Diagnosis

The technology of fault diagnosis helps improve the reliability of wind turbines. Difficulties in feature extraction and low confidence in diagnostic results are widespread in the process of deep learning-based fault diagnosis of wind turbine bearings. Therefore, a probabilistic Bayesian parallel de...

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Detalles Bibliográficos
Autores principales: Meng, Liang, Su, Yuanhao, Kong, Xiaojia, Lan, Xiaosheng, Li, Yunfeng, Xu, Tongle, Ma, Jinying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573366/
https://www.ncbi.nlm.nih.gov/pubmed/36236741
http://dx.doi.org/10.3390/s22197644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573366/
https://www.ncbi.nlm.nih.gov/pubmed/36236741
http://dx.doi.org/10.3390/s22197644

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