Fault Detection CVA Algorithm of Chemical Process Based on ISOMAP

	Fault Detection CVA Algorithm of Chemical Process Based on ISOMAP
	Zhao Xiaoqiang 1,2; Zhang Xiaoxiao 1
	2014
关键词	Fault detection ISOMAP CVA TE Process
页码	3147-3151
英文摘要	Strong auto-correlation and cross-correlation in chemical processes data can be dealt well by canonical variate analysis (CVA) algorithm, but this algorithm can't solve nonlinear problem of chemical process data. So a fault diagnosis CVA algorithm of chemical process based on isometric feature mapping (ISOMAP) is proposed in this paper. At first, this algorithm uses ISOMAP algorithm of manifold learning to achieve realize nonlinear dimensionality reduction for initial data and maintain internal geometry structure of data. Then CVA is used to the extracted low dimensional data to obtain process state space description and SPE statistics. Fault detection simulation results of TE process show that the proposed algorithm is more effective to detect faults of chemical process than CVA algorithm.
会议录	2014 33RD CHINESE CONTROL CONFERENCE (CCC)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	中文
WOS研究方向	Automation & Control Systems
WOS记录号	WOS:000366482803044
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36717]
专题	电气工程与信息工程学院
通讯作者	Zhao Xiaoqiang
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China 2.Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhao Xiaoqiang,Zhang Xiaoxiao. Fault Detection CVA Algorithm of Chemical Process Based on ISOMAP[C]. 见:.