A Two-Stage, Intelligent Bearing-Fault-Diagnosis Method Using Order-Tracking and a One-Dimensional Convolutional Neural Network with Variable Speeds

When performing fault diagnosis tasks on bearings, the change of any bearing’s rotation speed will cause the frequency spectrum of bearing fault characteristics to be blurred. This makes it difficult to extract stable fault features based on manual or intelligent methods, resulting in a decrease in...

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Detalles Bibliográficos
Autores principales: Ji, Mengyu, Peng, Gaoliang, He, Jun, Liu, Shaohui, Chen, Zhao, Li, Sijue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863739/
https://www.ncbi.nlm.nih.gov/pubmed/33498161
http://dx.doi.org/10.3390/s21030675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7863739/
https://www.ncbi.nlm.nih.gov/pubmed/33498161
http://dx.doi.org/10.3390/s21030675

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