An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN

Deep learning methods have been introduced for fault diagnosis of rotating machinery. Most methods have good performance when processing bearing data at a certain rotating speed. However, most rotating machinery in industrial practice has variable working speed. When processing the bearing data with...

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Detalles Bibliográficos
Autores principales: Guo, Sheng, Yang, Tao, Gao, Wei, Zhang, Chen, Zhang, Yanping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263722/
https://www.ncbi.nlm.nih.gov/pubmed/30424001
http://dx.doi.org/10.3390/s18113857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263722/
https://www.ncbi.nlm.nih.gov/pubmed/30424001
http://dx.doi.org/10.3390/s18113857

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