| 학회 |
한국화학공학회 |
| 학술대회 |
2003년 봄 (04/25 ~ 04/26, 순천대학교) |
| 권호 |
9권 1호, p.222 |
| 발표분야 |
공정시스템 |
| 제목 |
Modified PLS Method for the Inferential Quality Control of a Terephthalic Acid Manufacturing Process |
| 초록 |
This paper presents a modified Partial Least-Squares (PLS) method that integrates an bias update scheme and an advanced cross-validation method that takes into account the correlation coefficient (CC) between the observed quality values and the predicted ones as well as into account prediction error sum of squares (PRESS) to determine the optimal number of latent variables. The modified PLS method has a great advantage that it improves the robustness of an inferential model without updating model parameters at short intervals for a very changeful chemical process with frequent changes of the operational condition or disturbance. It has shown that the proposed PLS method has a better performance when it was applied to an industrial chemical process. |
| 저자 |
김민진, 한인수, 한종훈
|
| 소속 |
포항공과대 |
| 키워드 |
Inferential Model; Modified PLS; Correlation Coefficients
|
| E-Mail |
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| 원문파일 |
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