ROBUST STATISTICAL PROCESS MONITORING

Principal component analysis (PCA) is a key step to carrying out multi variate statistical process monitoring. Due to the sensitive nature of classical PCA. one or two outliers will cause misleading results. In this paper. a robust PCA via a Hybrid Projection Pursuit (HPP) approac h is proposed. Incorporation of this robust PCA into our previously de veloped data driven strategy. for statistical process monitoring. will mean the whole procedure will be resistant to outliers and this robus t. The performance of the proposed approach is demonstrated by simulat ion studies on a simple flowsheet example.