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다변량 통계 분석 방법을 이용한 연속 교반 MMA-VA 공중합 공정 품질 변수 온라인 모니터링
이희두(Hee Du Lee),이무호(Moo Ho Lee),조현우(Hyun Woo Cho),한종훈(Chong Hun Han),장근수(Kun Soo Chang) 한국화학공학회 1997 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.35 No.5
A scheme for online monitoring the quality of continuous-stirred MMA-VA copolymerization process using multivariate statistical methods such as PLS(partial least squares) and PCA(principal component analysis) is developed. PLS is used to estimate future steady-state quality variables and PCA is used to construct quality monitoring model tn determine if estimated future steady-state quality variables are out-of-control state. While the dynamics of the process is not well described in the developed PLS quality estimator, future steady-state quality values is well predicted. Therefore, this scheme can be used as a tool to detect future abnormal stales and improve the process.