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A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing
Zhao, HM; Sun, M; Deng, W; Yang, XH
刊名Entropy
2017
卷号Vol.19 No.1页码:14
关键词feature extraction motor bearing ensemble empirical mode decomposition (EEMD) multi-scale fuzzy entropy correlation coefficient method SVM fault diagnosis
ISSN号1099-4300;1099-4300
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/1840103
专题四川大学
作者单位1.Dalian Jiaotong Univ, Software Inst, Dalian 116028, Peoples R China
2.Sichuan Univ Sci & Engn, Sichuan Prov Key Lab Proc Equipment & Control, Zigong 64300, Peoples R China
3.Southwest Jiaotong Univ, Tract Power State Key Lab, Chengdu 610031, Peoples R China
4.Dalian Jiaotong Univ, Dalian Key Lab Welded Struct & Its Intelligent Mf, Dalian 116028, Peoples R China
5.Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
推荐引用方式
GB/T 7714
Zhao, HM,Sun, M,Deng, W,et al. A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing[J]. Entropy,2017,Vol.19 No.1:14.
APA Zhao, HM,Sun, M,Deng, W,&Yang, XH.(2017).A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing.Entropy,Vol.19 No.1,14.
MLA Zhao, HM,et al."A New Feature Extraction Method Based on EEMD and Multi-Scale Fuzzy Entropy for Motor Bearing".Entropy Vol.19 No.1(2017):14.
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