Abstract
The utility of multivariate statistical process control (MSPC) in the process industry can be further improved by applying knowledge-based systems (KBS) principles. First, the extensive volumes of process data generated in a production process can be pre-assessed by the KBS according to set rules. Second, the KBS can make a selection between various MSPC model alternatives. Third, the KBS may support the plant operators when evaluating the MSPC output results. This is shown in this preliminary study where a KBS was applied to an existing MSPC application on a paperboard machine. It is suggested that these experiences may also successfully be applied with other continuous processes in the manufacturing industry.
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