CUIMWMPCA with application to fault monitoring of batch process
CUIMWMPCA方法及其在批过程故障监测中的应用*

A consecutively updated improved moving window CUIMWMPCA for on-line batch processes monitoring was proposed. The key to the new method was that whenever a new batch detected by IMWMPCA successfully remained within the bounds of normal operation, its batch data were added to the historical database of normal data and a new MPCA model was developed based on the revised database. The proposed approach only used the known data for monitoring batch processes and could consecutively update MPCA model. The proposed method was applied to monitoring fed-batch penicillin production, and the results clearly show that the proposed method is a more reliable method for monitoring slowly varying batch processes and could eliminate the many false alarms in comparison to MWMPCA.