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	Comparative study on monitoring schemes for non-Gaussian distributed processes
	Li, Gang; Qin, S. Joe
刊名	JOURNAL OF PROCESS CONTROL
	2018
卷号	67页码:69-82
关键词	Non-Gaussian distribution Independent component analysis Kernel density estimation Gaussian mixture model Support vector data description Statistical pattern analysis Neyman Pearson lemma
ISSN号	0959-1524
DOI	10.1016/j.jprocont.2016.08.007
URL标识	查看原文
收录类别	SCIE
WOS记录号	WOS:000436649900008
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5931598
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Li, Gang,Qin, S. Joe. Comparative study on monitoring schemes for non-Gaussian distributed processes[J]. JOURNAL OF PROCESS CONTROL,2018,67:69-82.
APA	Li, Gang,&Qin, S. Joe.(2018).Comparative study on monitoring schemes for non-Gaussian distributed processes.JOURNAL OF PROCESS CONTROL,67,69-82.
MLA	Li, Gang,et al."Comparative study on monitoring schemes for non-Gaussian distributed processes".JOURNAL OF PROCESS CONTROL 67(2018):69-82.

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