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Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform

Accurate and timely bearing fault diagnosis is crucial to decrease the probability of unexpected failures of rotating machinery and improve the efficiency of its scheduled maintenance. Since convolutional neural networks (CNN) have poor feature extraction capability for sensor data with 1D format, C...

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Detalles Bibliográficos
Autores principales:	Li, Guoqiang, Deng, Chao, Wu, Jun, Xu, Xuebing, Shao, Xinyu, Wang, Yuanhang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6630627/ https://www.ncbi.nlm.nih.gov/pubmed/31248106 http://dx.doi.org/10.3390/s19122750

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