Fault Diagnosis of Motor Bearings Based on a One-Dimensional Fusion Neural Network

Deep learning has been an important topic in fault diagnosis of motor bearings, which can avoid the need for extensive domain expertise and cumbersome artificial feature extraction. However, existing neural networks have low fault recognition rates and low adaptability under variable load conditions...

Descripción completa

Detalles Bibliográficos
Autores principales: Jian, Xianzhong, Li, Wenlong, Guo, Xuguang, Wang, Ruzhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339238/
https://www.ncbi.nlm.nih.gov/pubmed/30609699
http://dx.doi.org/10.3390/s19010122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339238/
https://www.ncbi.nlm.nih.gov/pubmed/30609699
http://dx.doi.org/10.3390/s19010122

Ejemplares similares