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Lookup NU author(s): Professor Elaine Martin, Emeritus Professor Julian Morris
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The detection of process changes through a principal component analysis based monitoring scheme can be achieved through the interrogation of two metrics, Hotelling's T2 and the Q-statistic. The Q-statistic has been shown to be insensitive to small changes in the process model parameters. In this paper, a modified statistic based on the local approach is proposed to detect changes in model parameters in a principal component analysis monitoring scheme. The performance of the more traditional Q-statistic is compared with the modified statistic through their application to fault detection in a continuous stirred tank reactor.
Author(s): Kumar S, Martin EB, Morris J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Proceedings of the American Control Conference
Year of Conference: 2002
Pages: 2719-2724
ISSN: 0743-1619
Publisher: American Automatic Control Council
