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	Sparse representation for transients in Laplace wavelet basis and its application in feature extraction of bearing fault (EI收录)
	Fan, Wei[1]; Li, Shuang[1]; Cai, Gaigai[1]; Shen, Changqing[2]; Huang, Weiguo[1]; Zhu, Zhongkui[1]
刊名	Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
	2015
卷号	51页码:111-118
关键词	Bearings (machine parts) Constrained optimization Extraction Fault detection Feature extraction Functions Laplace transforms Machinery Optimization Transients
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/2211307
专题	华南理工大学
作者单位	1.[1] School of Urban Rail Transportation, Soochow University, Suzhou, China 2.[2] School of Mechanical and Electrical Engineering, Soochow University, Suzhou, China
推荐引用方式 GB/T 7714	Fan, Wei[1],Li, Shuang[1],Cai, Gaigai[1],等. Sparse representation for transients in Laplace wavelet basis and its application in feature extraction of bearing fault (EI收录)[J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,2015,51:111-118.
APA	Fan, Wei[1],Li, Shuang[1],Cai, Gaigai[1],Shen, Changqing[2],Huang, Weiguo[1],&Zhu, Zhongkui[1].(2015).Sparse representation for transients in Laplace wavelet basis and its application in feature extraction of bearing fault (EI收录).Jixie Gongcheng Xuebao/Journal of Mechanical Engineering,51,111-118.
MLA	Fan, Wei[1],et al."Sparse representation for transients in Laplace wavelet basis and its application in feature extraction of bearing fault (EI收录)".Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 51(2015):111-118.

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