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Niël le Roux, Roelof Coetzer (NWU), Ruan Rossouw (SASOL)

A multivariate reactor performance index (RPI) is developed for complex Multivariate Process Monitoring. The newly proposed RPI integrates subject-matter knowledge with a data driven approach for real time performance monitoring. A new approach to process deviation monitoring on many variables is presented based on the confidence value (α) at a specified -value. This methodology is proposed as a general data driven performance index as it is objective, and very little prior knowledge of the system is required. A performance index visualized on an appropriate and interactive graph is invaluable in the monitoring of multiple similar production processes, as it makes it easy to visually identify production processes not performing as expected.​