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	Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning
	Huang, WY; Cheng, JS; Yang, Y
刊名	IEEE ACCESS
	2019
卷号	Vol.7页码:17834-17846
关键词	Bearing performance degradation assessment complex operation condition convolutional sparse combination learning convolutional sparse reconstruction
ISSN号	2169-3536
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/4738904
专题	湖南大学
作者单位	Hunan Univ, Coll Mech & Vehicle Engn, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
推荐引用方式 GB/T 7714	Huang, WY,Cheng, JS,Yang, Y. Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning[J]. IEEE ACCESS,2019,Vol.7:17834-17846.
APA	Huang, WY,Cheng, JS,&Yang, Y.(2019).Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning.IEEE ACCESS,Vol.7,17834-17846.
MLA	Huang, WY,et al."Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning".IEEE ACCESS Vol.7(2019):17834-17846.

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