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	A novel adaptive wavelet threshold estimation based on hybrid particle swarm optimization for partial discharge signal denoising
	Si, Wen; Qin, Bingyang; Li, Qingquan; Liu, Hongshun
刊名	OPTIK
	2019
卷号	181页码:175-184
关键词	Partial discharge Online monitoring Wavelet-based denoising Adaptive thresholding Hybrid particle swarm optimization algorithm
DOI	10.1016/j.ijleo.2018.12.030
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/4546807
专题	山东大学
作者单位	1.Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan 250101, Shandong, Peoples R China. 2.State Grid Zhejiang Elect Powe
推荐引用方式 GB/T 7714	Si, Wen,Qin, Bingyang,Li, Qingquan,et al. A novel adaptive wavelet threshold estimation based on hybrid particle swarm optimization for partial discharge signal denoising[J]. OPTIK,2019,181:175-184.
APA	Si, Wen,Qin, Bingyang,Li, Qingquan,&Liu, Hongshun.(2019).A novel adaptive wavelet threshold estimation based on hybrid particle swarm optimization for partial discharge signal denoising.OPTIK,181,175-184.
MLA	Si, Wen,et al."A novel adaptive wavelet threshold estimation based on hybrid particle swarm optimization for partial discharge signal denoising".OPTIK 181(2019):175-184.

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