Analysis, Monitoring and Fault Diagnosis of Industrial Processes Using Multivariate Statistical Projection Methods

Multivariate statistical procedures based on various versions of principle component analysis (PCA), and partial least squares (PLS), have recently been proposed for the analysis monitoring and diagnosis of industrial processes. These methods are capable of treating processes with large numbers of highly correlated process and quality variables, and can easily handle missing data. The only information needed to exploit them is a good database …