Combination of statistical process control (SPC) methods and classification strategies for situation assessment of batch process

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 analysis in order to be assessed according to the statistical model of the process. Multiple situations have been categorized by a classification algorithm applied to the principal components in order to identify misbehaviour causes. Palabras clave: Multiway Principal Component Analysis (MPCA), situation assessment, Batch Processes.