Process Monitoring Approach Based on Lifting Wavelet and Multi-way Principal Component Analysis

Abstract

A novel technique of batch process monitoring based on lifting wavelet and multi-way principal component analysis (LWMPCA) is developed in this paper. The proposed technique consists of a preprocessing unit based on lifting wavelets transform in combination with MPCA. The superiority of the proposed method is illustrated by applying it to the simulation benchmark of fed-batch penicillin fermentation process with more reliable monitoring charts. The results of simulation clearly demonstrate the effectiveness and feasibility of the proposed method, which detects various faults more promptly with desirable reliability.