A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals

Collecting multi-channel sensory signals is a feasible way to enhance performance in the diagnosis of mechanical equipment. In this article, a deep learning method combined with feature fusion on multi-channel sensory signals is proposed. First, a deep neural network (DNN) made up of auto-encoders i...

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Detalles Bibliográficos
Autores principales: Ye, Qing, Liu, Shaohu, Liu, Changhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436083/
https://www.ncbi.nlm.nih.gov/pubmed/32752215
http://dx.doi.org/10.3390/s20154300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436083/
https://www.ncbi.nlm.nih.gov/pubmed/32752215
http://dx.doi.org/10.3390/s20154300

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