Multivariate statistical process control of batch processes based on three-way models

被引：149

作者：

Louwerse, DJ ^{[1
]}

Smilde, AK ^{[1
]}

机构：

[1] Univ Amsterdam, Dept Chem Engn Proc Anal & Chemometr, NL-1018 WV Amsterdam, Netherlands

来源：

CHEMICAL ENGINEERING SCIENCE | 2000年 / 55卷 / 07期

关键词：

batch MSPC; tucker; PARAFAC; PCA; control charts; process monitoring;

D O I：

10.1016/S0009-2509(99)00408-X

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The theory of batch MSPC control charts is extended and improved control charts an developed. Unfold-PCA, PARAFAC and Tucker3 models are discussed and used as a basis for these charts. The results of the different models are compared and the performance of the control charts based on these models is investigated. It is found that this performance depends on the type of fault occuring in the batch process. A strategy is provided to partition reference data describing the normal operating conditions, in order to be able to monitor a new incomplete batch on-line. (C) 1999 Elsevier Science Ltd. Ail rights reserved.

引用

页码：1225 / 1235

页数：11

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