Journal article
Statistical Process Control of Multivariate Processes
Abstract
With process computers routinely collecting measurements on large numbers of process variables, multivariate statistical methods for the analysis, monitoring and diagnosis of process operating performance have received increasing attention. Extensions of traditional univariate Shewhart, CUSUM and EWMA control charts to multivariate quality control situations are based on Hotelling’s T2 statistic. Recent approaches to multivariate statistical …
Authors
MacGregor JF
Journal
IFAC-PapersOnLine, Vol. 27, No. 2, pp. 427–437
Publisher
Elsevier
Publication Date
5 1994
DOI
10.1016/s1474-6670(17)48188-2
ISSN
2405-8963