Abstract: Process control system for detecting abnormal events in a process having one or more independent variables and one or more dependent variables. The system includes a device for measuring values of the one or more independent and dependent variables, a process controller having a predictive model for calculating predicted values of the one or more dependent variables from the measured values of the one or more independent variables, a calculator for calculating residual values for the one or more dependent variables from the difference between the predicted and measured values of the one or more dependent variables, and an analyzer for performing a principal component analysis on the residual values. The process controller is a multivariable predictive control means and the principal component analysis results in the output of one or more scores values, T2 values and Q values.

Abstract: A process control system and a method for detecting abnormal events in a process, the process comprising one or more independent and one or more dependent variables a means for measuring values of the dependent and independent variables, and a multivariable predictive control means capable of calculating predicted values of the one or more dependent variables from the measured values of the one or more independent variables using a predictive model, which method comprises performing principal components analysis on the residual values of the one or more dependent variables, the residual values being calculated from the difference between the predicted and measured dependent variable values.