Optimal fault detection design via iterative estimation methods for   industrial control systems

doi:10.1016/j.jfranklin.2015.12.002

CORC > 北京大学 > 工学院

	Optimal fault detection design via iterative estimation methods for industrial control systems
	Li, Linlin ; Ding, Steven X. ; Zhang, Yong ; Yang, Ying
刊名	JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
	2016
关键词	LEAST-SQUARES ESTIMATION PIECEWISE LYAPUNOV FUNCTIONS TIME-VARYING SYSTEMS FEEDBACK-CONTROL SENSOR NETWORKS LINEAR-SYSTEMS DELAY SYSTEMS PART I KALMAN NONLINEARITIES
DOI	10.1016/j.jfranklin.2015.12.002
英文摘要	This paper mainly focuses on the design and implementation of iterative estimation methods, and their applications to obtain the optimal fault detection for industrial control systems. More specifically, to generate residual signals with a minimum variance, minimum variance estimation is first addressed in terms of recursive least square (RLS) and Kalman filter by iterative interactions with the process environment. The optimal fault detection is then realized to provide the timely and optimal detection of potential problems by adopting these real-time minimum variance estimation schemes. Finally, the effectiveness of our schemes is demonstrated with a numerical example and experimental studies in the laboratory three-tank system. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.; National Natural Science Foundation of China [61473004, 61433001, 61174052, 61210012]; SCI(E); EI; ARTICLE; linlin.li@uni-due.de; steven.ding@uni-due.de; yong.zhang@pku.edu.cn; yy@pku.edu.cn; 2; 359-377; 353
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/438060]
专题	工学院
推荐引用方式 GB/T 7714	Li, Linlin,Ding, Steven X.,Zhang, Yong,et al. Optimal fault detection design via iterative estimation methods for industrial control systems[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2016.
APA	Li, Linlin,Ding, Steven X.,Zhang, Yong,&Yang, Ying.(2016).Optimal fault detection design via iterative estimation methods for industrial control systems.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS.
MLA	Li, Linlin,et al."Optimal fault detection design via iterative estimation methods for industrial control systems".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2016).