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	A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation
	Song, Yucheng; Zeng, Shengkui; Ma, Jiming; Guo, Jianbin
刊名	MEASUREMENT
	2018
卷号	117页码:266-276
关键词	Fault diagnosis Empirical wavelet transform Scale-space histogram segmentation Roller bearing
ISSN号	0263-2241
DOI	10.1016/j.measurement.2017.12.029
URL标识	查看原文
收录类别	SCIE ; EI
WOS记录号	WOS:000428716800026
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5935875
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Song, Yucheng,Zeng, Shengkui,Ma, Jiming,et al. A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation[J]. MEASUREMENT,2018,117:266-276.
APA	Song, Yucheng,Zeng, Shengkui,Ma, Jiming,&Guo, Jianbin.(2018).A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation.MEASUREMENT,117,266-276.
MLA	Song, Yucheng,et al."A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation".MEASUREMENT 117(2018):266-276.

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