Information criterion for determination time window length of dynamic PCA for process monitoring

被引：0

作者：

Li, XX ^{[1
]}

Qian, Y ^{[1
]}

Wang, JF ^{[1
]}

Qin, SJ ^{[1
]}

机构：

[1] S China Univ Technol, Sch Chem Engn, Guangzhou 510640, Peoples R China

来源：

EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING - 13 | 2003年 / 14卷

关键词：

D O I：

暂无

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Principal component analysis (PCA) is based on and suitable to analysis of stationary processes. When it is applied to dynamic process monitoring, the moving time window approach is used to construct the data matrix to be analyzed. However, the length of the time window and the moving width between time widows are often empirically tested and selected. In this paper, a criterion for determining the time window length is proposed for dynamic process monitoring. A new algorithm of dynamic monitoring is then presented. The proposed selection criterion is used in the new algorithm. Finally, the proposed approach is successfully applied to a two-input two-output process and Tennessee Eastman process for dynamic monitoring.

引用

页码：461 / 466

页数：6

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