Multivariate Statistical Process Control and Process Performance Monitoring

Abstract

Multivariate Statistical Process Performance Monitoring (MSPPM) provides a diagnostic tool for the monitoring and detection of process malfunctions for continuous and batch manufacturing processes. This paper initially reviews the concept of process performance monitoring through an industrial application to a fluidised bed-reactor and a simulation of a batch methyl methacrylate polymerisation reactor, prior to describing some of the more recent work being carried out. This includes the development of performance monitoring schemes from minimal process data, the use of multi-block techniques for plant-wide monitoring and the development of generic models for the monitoring of multiple products, grades or recipes.