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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書誌詳細

主要な著者:	SUN Mingbo, MA Qiuli, ZHANG Yanliang, LEI Junhui
フォーマット:	Artigo
言語:	Chinês
出版事項:	Editorial Department of Industry and Mine Automation 2018-03-01
シリーズ:	Gong-kuang zidonghua
主題:	coal mining shearer rolling bearing fault diagnosis empirical mode decomposition hybrid grey wolf optimization algorithm multi-class support vector machine
オンライン･アクセス:	http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017110006
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