Fault diagnosis method for rolling bearing of shearer based on HGWO-MSVM

Fault diagnosis method for rolling bearing of shearer based on HGWO-MSVM

In view of problems of difficult extracting of fault feature vector and unsatisfactory multi-classification effect of shearer rolling bearing, a fault diagnosis method for rolling bearing of shearer based on HGWO-MSVM was proposed. The bearing fault signal is denoised by wavelet and decomposed by em...

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Bibliographic Details
Main Authors: SUN Mingbo, MA Qiuli, ZHANG Yanliang, LEI Junhui
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2018-03-01
Series:Gong-kuang zidonghua
Subjects:
coal mining
shearer
rolling bearing
fault diagnosis
empirical mode decomposition
hybrid grey wolf optimization algorithm
multi-class support vector machine
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017110006

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017110006

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