Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification

Application of Adaptive Local Iterative Filtering and Fuzzy Entropy in Gear Fault Identification

Aiming at the problem that the measured signal of gear system can’t accurately reflect the fault characteristics due to noise interference， a fault identification method combining adaptive local iterative filtering and fuzzy entropy is proposed. By using adaptive local iterative filtering， the nonst...

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Bibliographic Details
Main Authors: Wenbin Zhang, Jie Jiang, Yasong Pu, Libin Yu, Dewei Guo, Jie Min
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2021-05-01
Series:Jixie chuandong
Subjects:
Fault analysis
Gear
Signal processing
Adaptive local iterative filtering
Fuzzy entropy
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.05.022

Internet

http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2021.05.022

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