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Process analysis, monitoring and diagnosis, using...
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Process analysis, monitoring and diagnosis, using multivariate projection methods

Abstract

Multivariate statistical methods for the analysis, monitoring and diagnosis of process operating performance are becoming more important because of the availability of on-line process computers which routinely collect measurements on large numbers of process variables. Traditional univariate control charts have been extended to multivariate quality control situations using the Hotelling T2 statistic. Recent approaches to multivariate …

Authors

Kourti T; MacGregor JF

Volume

28

Pagination

pp. 3-21

Publisher

Elsevier

Publication Date

April 1995

DOI

10.1016/0169-7439(95)80036-9

Conference proceedings

Chemometrics and Intelligent Laboratory Systems

Issue

1

ISSN

0169-7439

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