Multivariate statistical process control in chromatography

被引：42

作者：

Nijhuis, A ^{[1
]}

deJong, S ^{[1
]}

Vandeginste, BGM ^{[1
]}

机构：

[1] STATE UNIV GHENT, DEPT ORGAN CHEM, B-9000 GHENT, BELGIUM

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1997年 / 38卷 / 01期

关键词：

multivariate statistical process control; Hotelling's T-2 statistic; principal component analysis; chromatography;

D O I：

10.1016/S0169-7439(97)00054-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The need for multivariate statistical process control (MSPC) to check the performance of processes is becoming more important as the increasing number of variables that can be measured increases. In this paper Hotelling's T-2 statistic based on PCA is used for the development of multivariate control charts. The significant principal components (PCs) are used to develop the T-2-chart and the remaining PCs contribute to the congruent to SPE-chart. Results of applying multivariate control charts in chromatography are presented. The application concerns a capillary gas chromatography analysis of the fatty acid composition in BCR162 (soya-maize oil). (C) 1997 Elsevier Science B.V.

引用

页码：51 / 62

页数：12

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