Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process

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	Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process
	Li S(李帅)1,2,3,4; Zhou XF(周晓锋)1,2,3; Shi HB(史海波)1,2,3
	2020
会议日期	November 6-8, 2028
会议地点	Shanghai, China
关键词	fault detection nonlinear multimode process common and specific variable decomposition nonlinearity coefficient PCA-KPCA-SPCA-based modeling
页码	5052-5056
英文摘要	Due to the change of operating conditions including external environments and production schemes, there are usually multiple modes in most industrial processes. Moreover, different linear and nonlinear correlations simultaneously coexist in different modes, which brings difficulty to fault detection. Aiming at this problem, the paper proposes a fault detection method using common and specific variable decomposition for nonlinear multimode process. The proposed method takes into account the linear and nonlinear correlations in different modes and utilizes the common and specific modeling ideas for enhancing the performance of fault detection in multimode process. First, the multimode process data are divided into the common variable subspace and the specific variable subspace based on sliding window low-order and high-order statistics. Then, the nonlinearity coefficient is used to evaluate the linear and nonlinear correlations for each variable subspace. Subsequently, the common and specific PCA-KPCA-SPCA-based multimode process modeling is developed for fault detection. The fault detection results of the Tennessee Eastman (TE) process demonstrate the feasibility and effectiveness of the proposed method.
产权排序	1
会议录	Proceedings - 2020 Chinese Automation Congress, CAC 2020
会议录出版者	IEEE
会议录出版地	New York
语种	英语
ISBN号	978-1-7281-7687-1
WOS记录号	WOS:000678697005030
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28374]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Li S(李帅)
作者单位	1.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China 2.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China 3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 4.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式 GB/T 7714	Li S,Zhou XF,Shi HB. Fault Detection using Common and Specific Variable Decomposition for Nonlinear Multimode Process[C]. 见:. Shanghai, China. November 6-8, 2028.