QQ客服 官方微博 反馈留言

	Dynamic process fault diagnosis using improved Fisher discriminant analysis - An approach towards IoT
	Tian, Huifeng[1]; Jia, Li[2]
刊名	COGNITIVE SYSTEMS RESEARCH
	2018
卷号	52页码:261-266
关键词	Improved Fisher discriminant analysis Relative error of variance Hypothesis testing Canonical correlation analysis
ISSN号	1389-0417
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/2170300
专题	上海大学
作者单位	1.[1]Shanghai Univ, Coll Mechatron Engn & Automat, Dept Automat, Shanghai 200072, Peoples R China. 2.Jiangsu Univ Sci & Technol, Coll Elect & Informat Engn, Zhangjiagang 215600, Jiangsu, Peoples R China. 3.[2]Shanghai Univ, Coll Mechatron Engn & Automat, Dept Automat, Shanghai 200072, Peoples R China.
推荐引用方式 GB/T 7714	Tian, Huifeng[1],Jia, Li[2]. Dynamic process fault diagnosis using improved Fisher discriminant analysis - An approach towards IoT[J]. COGNITIVE SYSTEMS RESEARCH,2018,52:261-266.
APA	Tian, Huifeng[1],&Jia, Li[2].(2018).Dynamic process fault diagnosis using improved Fisher discriminant analysis - An approach towards IoT.COGNITIVE SYSTEMS RESEARCH,52,261-266.
MLA	Tian, Huifeng[1],et al."Dynamic process fault diagnosis using improved Fisher discriminant analysis - An approach towards IoT".COGNITIVE SYSTEMS RESEARCH 52(2018):261-266.

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。