A VMD and CNN Combined Fault Diagnosis Method for Rolling Bearings

A VMD and CNN Combined Fault Diagnosis Method for Rolling Bearings

Aiming at the difficulty of extracting fault features of rolling bearings under the influence of strong background noise, a rolling bearing fault diagnosis method based on the fusion of variational mode decomposition (VMD) and convolutional neural network (CNN) is proposed. After decomposing the ori...

Full description

Bibliographic Details
Main Authors: Li Kui, Sui Xin, Liu Chunyang, Li Jishun, Xu Yanwei, Yang Fang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2022-11-01
Series:Jixie chuandong
Subjects:
Rolling bearing
Fault diagnosis
Strong background noise
Variational mode decomposition
Convolutional neural network
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.021

Internet

http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.11.021

Similar Items