QQ客服 官方微博 反馈留言

	Bearing fault diagnosis based on variational mode decomposition and total variation denoising (EI收录)
	Zhang, Suofeng[1]; Wang, Yanxue[1]; He, Shuilong[1]; Jiang, Zhansi[1]
刊名	Measurement Science and Technology
	2016
卷号	27
关键词	Bearings (machine parts) Extraction Failure analysis Feature extraction Higher order statistics Image denoising Roller bearings Signal detection Stochastic systems Vibration analysis
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/2197976
专题	华南理工大学
作者单位	1.[1] School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin 2.541004, China
推荐引用方式 GB/T 7714	Zhang, Suofeng[1],Wang, Yanxue[1],He, Shuilong[1],等. Bearing fault diagnosis based on variational mode decomposition and total variation denoising (EI收录)[J]. Measurement Science and Technology,2016,27.
APA	Zhang, Suofeng[1],Wang, Yanxue[1],He, Shuilong[1],&Jiang, Zhansi[1].(2016).Bearing fault diagnosis based on variational mode decomposition and total variation denoising (EI收录).Measurement Science and Technology,27.
MLA	Zhang, Suofeng[1],et al."Bearing fault diagnosis based on variational mode decomposition and total variation denoising (EI收录)".Measurement Science and Technology 27(2016).

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。