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	A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier
	Zhou, Shenghan; Qian, Silin; Chang, Wenbing; Xiao, Yiyong; Cheng, Yang
刊名	SENSORS
	2018
卷号	18
关键词	rolling bearing fault diagnosis WPE SVM ensemble classifier hybrid voting strategy
ISSN号	1424-8220
DOI	10.3390/s18061934
URL标识	查看原文
收录类别	SCIE ; PUBMED
WOS记录号	WOS:000436774300268
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5932095
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Zhou, Shenghan,Qian, Silin,Chang, Wenbing,et al. A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier[J]. SENSORS,2018,18.
APA	Zhou, Shenghan,Qian, Silin,Chang, Wenbing,Xiao, Yiyong,&Cheng, Yang.(2018).A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier.SENSORS,18.
MLA	Zhou, Shenghan,et al."A Novel Bearing Multi-Fault Diagnosis Approach Based on Weighted Permutation Entropy and an Improved SVM Ensemble Classifier".SENSORS 18(2018).

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