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Lookup NU author(s): Professor Elaine Martin,
Emeritus Professor Julian Morris
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The empirical monitoring of batch processes has traditionally been performed using the multivariate statistical projection techniques of multi-way principal components analysis and multi-way partial least squares, i.e. bilinear techniques. More recently, tri-linear methodologies such as the extension of factor analysis to three-way problems has been advocated as a possible alternative. A number of papers have been published relating to the advantages and disadvantages of the two methods. This paper contributes to the discussion through a study of an industrial fermentation process where abnormal situations were created in a number of batches. The study emphasizes the necessity for an understanding of the process in order to achieve monitoring models that are fit-for-purpose. © 2000 Elsevier B.V. All rights reserved.
Author(s): Meng X, Martin E, Morris A
Editor(s): Sauro Pierucci
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 10th European Symposium of Computer Aided Process Engineering (ESCAPE-10)
Year of Conference: 2000
Publisher: Computer Aided Chemical Engineering: Elsevier BV
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