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An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis

Intelligent machine health monitoring and fault diagnosis are becoming increasingly important for modern manufacturing industries. Current fault diagnosis approaches mostly depend on expert-designed features for building prediction models. In this paper, we proposed IDSCNN, a novel bearing fault dia...

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Detalles Bibliográficos
Autores principales:	Li, Shaobo, Liu, Guokai, Tang, Xianghong, Lu, Jianguang, Hu, Jianjun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5579931/ https://www.ncbi.nlm.nih.gov/pubmed/28788099 http://dx.doi.org/10.3390/s17081729

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