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	Mixed-signal extraction and recognition of wind turbine blade multiple-area damage based on improved Fast-ICA
	Jiang, Shanchao; Lin, Ping; Chen, Yongming; Tian, Changbin; Li, Yijia
刊名	OPTIK
	2019
卷号	179页码:1152-1159
关键词	Improved Fast-ICA Kendall rank correlation coefficient Mixed-signal extraction and recognition Sequence identification
DOI	10.1016/j.ijleo.2018.10.137
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/4532342
专题	山东大学
作者单位	1.Yancheng Inst Technol, Sch Elect Engn, Yancheng 224051, Peoples R China. 2.S
推荐引用方式 GB/T 7714	Jiang, Shanchao,Lin, Ping,Chen, Yongming,et al. Mixed-signal extraction and recognition of wind turbine blade multiple-area damage based on improved Fast-ICA[J]. OPTIK,2019,179:1152-1159.
APA	Jiang, Shanchao,Lin, Ping,Chen, Yongming,Tian, Changbin,&Li, Yijia.(2019).Mixed-signal extraction and recognition of wind turbine blade multiple-area damage based on improved Fast-ICA.OPTIK,179,1152-1159.
MLA	Jiang, Shanchao,et al."Mixed-signal extraction and recognition of wind turbine blade multiple-area damage based on improved Fast-ICA".OPTIK 179(2019):1152-1159.

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