Abstract
For assured through batch process performance monitoring, a number of bilinear and tri-linear modelling techniques require information on the entire batch duration, to enable the on-line realisation of the nominal model. Various strategies have been proposed for the in-filling of these yet unknown values. A methodology is proposed where the unknown observations are calculated from a weighted combination of the scores from a new batch and those from a reference data-set. A modification to the existing confidence limits is then described for the on-line implementation of a tri-linear model. The methodology is demonstrated on a benchmark simulation of a semi-batch emulsion polymerisation.
Published Version
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