Multivariate Statistical Approaches to Fault Detection and Isolation

This paper presents an overview of the multivariate statistical approaches to process monitoring and FDI that have become widely applied in industry over the past decade. These approaches are based on latent variable methods such as Principal Component Analysis (PCA) and Projection to Latent Structures (PLS), and the models are built using data collected from routine plant operations during periods where only "common cause" variation is …