MOTOR BEARING FAULT DIAGNOSIS BASED ON RELEVANCE VECTOR MACHINE OPTIMIZE BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM

MOTOR BEARING FAULT DIAGNOSIS BASED ON RELEVANCE VECTOR MACHINE OPTIMIZE BY IMPROVED FRUIT FLY OPTIMIZATION ALGORITHM

Aiming at the fact that the fault diagnosis performance of relevance vector machine（RVM） in motor bearing highly depends on the parameters selection, a motor bearing fault diagnosis method based on RVM optimized by fruit fly optimization algorithm with reverse cognition（RCFOA） was proposed. In order...

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Bibliographic Details
Main Author: WANG HanZhang
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2019-01-01
Series:Jixie qiangdu
Subjects:
Fruit fly optimization algorithm
Reverse cognition
Relevance vector machine
Fault diagnosis
Bearing
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.008

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2019.04.008

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