An Ensemble Convolutional Neural Networks for Bearing Fault Diagnosis Using Multi-Sensor Data

Multi-sensor data fusion is a feasible technique to achieve accurate and robust results in fault diagnosis of rotating machinery under complex conditions. However, the problem of information losses is always ignored during the fusion process. To solve above problem, an ensemble convolutional neural...

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Detalles Bibliográficos
Autores principales: Liu, Yang, Yan, Xunshi, Zhang, Chen-an, Liu, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929198/
https://www.ncbi.nlm.nih.gov/pubmed/31810161
http://dx.doi.org/10.3390/s19235300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929198/
https://www.ncbi.nlm.nih.gov/pubmed/31810161
http://dx.doi.org/10.3390/s19235300

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