Dimension reduction of process dynamic trends using independent component analysis

被引：87

作者：

Li, RF ^{[1
]}

Wang, XZ ^{[1
]}

机构：

[1] Univ Leeds, Dept Chem Engn, Leeds LS2 9JT, W Yorkshire, England

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2002年 / 26卷 / 03期

关键词：

dimension reduction; dynamic trends; independent component analysis; principal component analysis; process monitoring;

D O I：

10.1016/S0098-1354(01)00773-6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new approach is presented which removes the dependencies of variables through separating a smaller number of latent variables called independent components which are the constituent elements of the observed (monitored) variables. The method is introduced by reference to a case study of two continuous stirred tank reactors, which demonstrates that the method can effectively reduce the dimension. Comparison of the method with the well established principal component analysis is also made. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：467 / 473

页数：7

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