ROLLING BEARING FAULT DIAGNOSIS BASED ON VARIATIONAL MODAL DECOMPOSITION AND LFOA-RVM

ROLLING BEARING FAULT DIAGNOSIS BASED ON VARIATIONAL MODAL DECOMPOSITION AND LFOA-RVM

Aiming at the fault diagnosis problem of rolling bearing, a fault diagnosis method of rolling bearing based on variational modal decomposition（VMD）, improved fruit fly optimize algorithm（LFOA） and relevance vector machine（RVM） was proposed. Firstly, the bearing vibration signals was decomposed into...

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Bibliographic Details
Main Author: CHEN Wan
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2018-01-01
Series:Jixie qiangdu
Subjects:
Variational modal decomposition;Improved fruit fly optimization algorithm;Relevance vector machine;Fault diagnosis;Bearing
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.06.005

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.06.005

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