Bearing-Fault Diagnosis with Signal-to-RGB Image Mapping and Multichannel Multiscale Convolutional Neural Network

Deep learning bearing-fault diagnosis has shown strong vitality in recent years. In industrial practice, the running state of bearings is monitored by collecting data from multiple sensors, for instance, the drive end, the fan end, and the base. Given the complexity of the operating conditions and t...

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Detalles Bibliográficos
Autores principales: Xu, Ming, Gao, Jinfeng, Zhang, Zhong, Wang, Heshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689231/
https://www.ncbi.nlm.nih.gov/pubmed/36359658
http://dx.doi.org/10.3390/e24111569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689231/
https://www.ncbi.nlm.nih.gov/pubmed/36359658
http://dx.doi.org/10.3390/e24111569

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