Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN

Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN

According to the non-stationary and nonlinearity of the fault signals from rolling bearing,a recognition method based on Modified Ensemble Empirical Mode Decomposition（ MEEMD） and Double Hiddenlayer Elman Neural Network（ DHENN） is proposed. The vibration signal is decomposed by MEEMD,and using varia...

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Bibliographic Details
Main Authors: Wang Jinrui, Xie Lirong, Wang Zhongqiang, Niu Yongchao
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Rolling bearing
Fault diagnosis
MEEMD
DHENN
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.03.029

Internet

http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.03.029

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