Double moving window MPCA for Online adaptive batch monitoring

IMR OpenIR

	Double moving window MPCA for Online adaptive batch monitoring
其他题名	Double Moving Window MPCA for Online Adaptive Batch Monitoring
	Zhao LJ 1; Chai TY 1; Wang G 1
	2005
发表期刊	CHINESE JOURNAL OF CHEMICAL ENGINEERING
ISSN	1004-9541
卷号	13 期号:5 页码:649-655
摘要	Online monitoring of chemical process performance is extremely important to ensure the safety of a chemical plant and consistently high quality of products. Multivariate statistical process control has found wide applications in process performance analysis, monitoring and fault diagnosis using existing rich historical database. In this paper, we propose a simple and straight forward multivariate statistical modeling based on a moving window MPCA (multiway principal component analysis) model along the time and batch axis for adaptive monitoring the progress of batch processes in real-time. It is an extension to minimum window MPCA and traditional MPCA. The moving window MPCA along the batch axis can copy seamlessly with variable run length and does not need to estimate any deviations of the ongoing batch from the average trajectories. It replaces an invariant fixed-model monitoring approach with adaptive updating model data structure within batch-to-batch, which overcomes the changing operation condition and slows time-varying behaviors of industrial processes. The software based on moving window MPCA has been successfully applied to the industrial polymerization reactor of polyvinyl chloride (PVC) process in the Jinxi Chemical Company of China since 1999.
其他摘要	Online monitoring of chemical process performance is extremely important to ensure the safety of a chemical plant and consistently high quality of products. Multivariate statistical process control has found wide applications in process performance analysis, monitoring and fault diagnosis using existing rich historical database. In this paper, we propose a simple and straight forward multivariate statistical modeling based on a moving window MPCA （multiway principal component analysis） model along the time and batch axis for adaptive monitoring the progress of batch processes in real-time. It is an extension to minimum window MPCA and traditional MPCA. The moving window MPCA along the batch axis can copy seamlessly with variable run length and does not need to estimate any deviations of the ongoing batch from the average trajectories. It replaces an invariant fixed-model monitoring approach with adaptive updating model data structure within batch-to-batch, which overcomes the changing operation condition and slows time-varying behaviors of industrial processes. The software based on moving window MPCA has been successfully applied to the industrial polymerization reactor of polyvinyl chloride （PVC） process in the Jinxi Chemical Company of China since 1999.
关键词	SYNCHRONIZATION moving window multiway principal component analysis batch monitoring
收录类别	CSCD
语种	英语
CSCD记录号	CSCD:2160830
引用统计	被引频次：5[CSCD] [CSCD记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/150134
专题	中国科学院金属研究所
作者单位	1.东北大学 2.中国科学院金属研究所
推荐引用方式 GB/T 7714	Zhao LJ,Chai TY,Wang G. Double moving window MPCA for Online adaptive batch monitoring[J]. CHINESE JOURNAL OF CHEMICAL ENGINEERING,2005,13(5):649-655.
APA	Zhao LJ,Chai TY,&Wang G.(2005).Double moving window MPCA for Online adaptive batch monitoring.CHINESE JOURNAL OF CHEMICAL ENGINEERING,13(5),649-655.
MLA	Zhao LJ,et al."Double moving window MPCA for Online adaptive batch monitoring".CHINESE JOURNAL OF CHEMICAL ENGINEERING 13.5(2005):649-655.