An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

A fault diagnosis approach based on multi-sensor data fusion is a promising tool to deal with complicated damage detection problems of mechanical systems. Nevertheless, this approach suffers from two challenges, which are (1) the feature extraction from various types of sensory data and (2) the sele...

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Detalles Bibliográficos
Autores principales: Jing, Luyang, Wang, Taiyong, Zhao, Ming, Wang, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335931/
https://www.ncbi.nlm.nih.gov/pubmed/28230767
http://dx.doi.org/10.3390/s17020414

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335931/
https://www.ncbi.nlm.nih.gov/pubmed/28230767
http://dx.doi.org/10.3390/s17020414

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