Abstract
The monitoring of the evolution of batch and fed-batch processes based on the multivariate statistical projection technique of principal component analysis is investigated. Prior to developing a process representation, a sensitivity analysis is carried out to identify the key variables that influence process behaviour. Graphical representations are then used to demonstrate the suitability of techniques for process monitoring where the objective is to identify, at any early stage, the onset of changes in process operation and deviations in product quality. The strategy is illustrated on an industrial biological fed-batch fermentation
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