Hybrid Data Fusion DBN for Intelligent Fault Diagnosis of Vehicle Reducers

Given its importance, fault diagnosis has attracted considerable attention in the literature, and several machine learning methods have been proposed to discover the characteristics of different aspects in fault diagnosis. In this paper, we propose a Hybrid Deep Belief Network (HDBN) learning model...

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Detalles Bibliográficos
Autores principales: Zhang, Tianfan, Li, Zhe, Deng, Zhenghong, Hu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603551/
https://www.ncbi.nlm.nih.gov/pubmed/31159290
http://dx.doi.org/10.3390/s19112504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603551/
https://www.ncbi.nlm.nih.gov/pubmed/31159290
http://dx.doi.org/10.3390/s19112504

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