Extraction of the Early Fault Feature of Rolling Bearing based on MED-RSSD

Extraction of the Early Fault Feature of Rolling Bearing based on MED-RSSD

During the early failure of the rolling bearing,the fault signal is very weak and the fault information is difficult to be extracted because of the influence of the background noise,in order to be able to effectively detect the bearing failure. A new diagnosis approach which combines minimum entropy...

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Bibliographic Details
Main Authors: Yang Bin, Zhang Jiawei, Wang Jianguo, Zhang Chao, Qin Bo
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Rolling bearing
Fault diagnosis
Minimum entropy deconvolution
Resonance sparse signal decomposition
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.06.025
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