A comparative study of Bi-linear and tri-linear approaches for the monitoring of an industrial batch process

Meng, X; Martin, E; Morris, A

doi:10.1016/S1570-7946(00)80177-7

A comparative study of Bi-linear and tri-linear approaches for the monitoring of an industrial batch process

Lookup NU author(s): Professor Elaine Martin, Emeritus Professor Julian Morris

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Abstract

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.