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Multivariate statistical process control in chromatography

delete1997-08-01
delete45
PRE
AI
A
Arend Nijhuis
S
S. De Jong
B
B.G.M. Vandeginste
DOI：10.1016/S0169-7439(97)00054-3delete
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Abstract

Abstract

En 中文
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.
Keywords:
multivariate statistical process control
Hotelling's T-2 statistic
principal component analysis
chromatography
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Journal

Chemometrics and Intelligent Laboratory Systems cover
Chemometrics and Intelligent Laboratory Systems
IF:
3.8
Papers:
4.6K
Citations:
1.2W

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