Title :
A stage-based quality prediction and control method for batch processes
Author :
Guo, Xiao-ping ; Wang, Fu-li ; Jia, Ming-Xing
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
A quality prediction method is proposed for multistage batch process. Firstly, using clustering methods based on the stage-based sub-PCA, the process is divided into several operation stages according to the change of process correlation, the most relevant stage to the quality variable is defined, and then sub-MPLS models are developed for that stage for online quality prediction. In addition, a closed-loop quality control system is proposed. The proposed method is finally applied to the injection molding process, a typical multistage batch process, and the results prove the effectiveness of the proposed quality prediction method and quality control scheme.
Keywords :
batch processing (industrial); closed loop systems; injection moulding; principal component analysis; quality control; MPLS model; closed-loop quality control system; control method; injection molding process; multistage batch process; partial least square; principal component analysis; quality prediction method; Chemical industry; Chemical processes; Chemical products; Food industry; Injection molding; Least squares methods; Monitoring; Predictive models; Principal component analysis; Quality control; Injection molding; multi-stage batch process; partial least square (PLS); principal component analysis (PCA); quality prediction;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527281
