The paper focuses on the development of a classification strategy to identify critic situation in batch process control. Data acquired from a batch execution is reduced by means of multiway principal component analysisin order to be assessed according to the statistical model of the process. Multiple situations have beencategorized by a classification algorithm applied to the principal components in order to identify is behaviour causes.
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