A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

Intelligent fault diagnosis techniques have replaced time-consuming and unreliable human analysis, increasing the efficiency of fault diagnosis. Deep learning models can improve the accuracy of intelligent fault diagnosis with the help of their multilayer nonlinear mapping ability. This paper propos...

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Detalles Bibliográficos
Autores principales: Zhang, Wei, Peng, Gaoliang, Li, Chuanhao, Chen, Yuanhang, Zhang, Zhujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336047/
https://www.ncbi.nlm.nih.gov/pubmed/28241451
http://dx.doi.org/10.3390/s17020425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336047/
https://www.ncbi.nlm.nih.gov/pubmed/28241451
http://dx.doi.org/10.3390/s17020425

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