A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis

This paper presents a novel method for fusing information from multiple sensor systems for bearing fault diagnosis. In the proposed method, a convolutional neural network is exploited to handle multiple signal sources simultaneously. The most important finding of this paper is that a deep neural net...

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Detalles Bibliográficos
Autores principales: Hoang, Duy Tang, Tran, Xuan Toa, Van, Mien, Kang, Hee Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795921/
https://www.ncbi.nlm.nih.gov/pubmed/33401511
http://dx.doi.org/10.3390/s21010244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795921/
https://www.ncbi.nlm.nih.gov/pubmed/33401511
http://dx.doi.org/10.3390/s21010244

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