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	A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis
	Siliang Lu; Fang Liu; Bin Ju; Haijiao Zhang; Zhijia Dai; Yongbin Liu
刊名	Entropy
	2018
卷号	Vol.20 No.4页码:212
关键词	improved multi-scale entropy multi-scale entropy feature extraction bearing fault diagnosis
ISSN号	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/2156042
专题	安徽大学
作者单位	1.College of Electrical Engineering and Automation, Anhui University, Hefei 230601, China 2.National Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei 230601, China
推荐引用方式 GB/T 7714	Siliang Lu,Fang Liu,Bin Ju,et al. A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis[J]. Entropy,2018,Vol.20 No.4:212.
APA	Siliang Lu,Fang Liu,Bin Ju,Haijiao Zhang,Zhijia Dai,&Yongbin Liu.(2018).A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis.Entropy,Vol.20 No.4,212.
MLA	Siliang Lu,et al."A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis".Entropy Vol.20 No.4(2018):212.

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