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	Fault diagnosis approach for rolling bearing based on local characteristic-scale decomposition and kernel nearest neighbor convex hull classification algorithm
	Yang, Yu; Zeng, Ming; Cheng, Jun-Sheng
刊名	Journal of Vibration Engineering
	2013
卷号	Vol.26 No.1页码:118-126
ISSN号	1004-4523
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6500564
专题	湖南大学
作者单位	State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China
推荐引用方式 GB/T 7714	Yang, Yu,Zeng, Ming,Cheng, Jun-Sheng. Fault diagnosis approach for rolling bearing based on local characteristic-scale decomposition and kernel nearest neighbor convex hull classification algorithm[J]. Journal of Vibration Engineering,2013,Vol.26 No.1:118-126.
APA	Yang, Yu,Zeng, Ming,&Cheng, Jun-Sheng.(2013).Fault diagnosis approach for rolling bearing based on local characteristic-scale decomposition and kernel nearest neighbor convex hull classification algorithm.Journal of Vibration Engineering,Vol.26 No.1,118-126.
MLA	Yang, Yu,et al."Fault diagnosis approach for rolling bearing based on local characteristic-scale decomposition and kernel nearest neighbor convex hull classification algorithm".Journal of Vibration Engineering Vol.26 No.1(2013):118-126.

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