QQ客服 官方微博 反馈留言

	Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning
	Wenyi Huang; Junsheng Cheng; Yu Yang
刊名	IEEE Access
	2019
卷号	Vol.7页码:17834-17846
关键词	Kernel Dictionaries Degradation Convolution Feature extraction Convolutional codes Encoding 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/4610538
专题	湖南大学
作者单位	State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China
推荐引用方式 GB/T 7714	Wenyi Huang,Junsheng Cheng,Yu Yang. Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning[J]. IEEE Access,2019,Vol.7:17834-17846.
APA	Wenyi Huang,Junsheng Cheng,&Yu Yang.(2019).Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning.IEEE Access,Vol.7,17834-17846.
MLA	Wenyi Huang,et al."Rolling Bearing Performance Degradation Assessment Based on Convolutional Sparse Combination Learning".IEEE Access Vol.7(2019):17834-17846.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。