ROLLING BEARING WEAK FAULT FEATURE EXTRACTION BASED ON MULTIPOINT OPTIMAL MINIMUM ENTROY DECONVOLUTION ADJUSTED AND ADAPTIVE STOCHASTIC RESONANCE WITH CUCKOO SEARCH

ROLLING BEARING WEAK FAULT FEATURE EXTRACTION BASED ON MULTIPOINT OPTIMAL MINIMUM ENTROY DECONVOLUTION ADJUSTED AND ADAPTIVE STOCHASTIC RESONANCE WITH CUCKOO SEARCH

Adjusting the value of nonlinear system parameters will affect the output Signal-to-Noise Ratio（ SNR）,so Signalto-Noise Ratio（ SNR） was used as the output evaluation index of stochastic resonance. A method combining Multipoint Optimal Minimum Entroy Deconvolution Adjusted（ MOMEDA） with Cuckoo search...

Full description

Saved in:
Bibliographic Details
Main Authors: QUAN ZhenYa, ZHANG XueLiang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2021-01-01
Series:Jixie qiangdu
Subjects:
Rolling bearing
Multipoint optimal minimum entroy deconvolution adjusted
Weak fault
Cuckoo search algorithm
Stochastic resonance
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.002
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2021.04.002

Similar Items