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유틸리티 플랜트에 대한 최적 총계 오차 판별 방법의 선택
Selection of Optimal Gross Error Detection Method for Utility Plant
포항공과대학교 화학공학과 1아이시스텍(주)
Dept. of Chem.Eng., POSTECH, Korea 1ISYTECH, Inc., Korea
chan@postech.ac.kr
HWAHAK KONGHAK, August 2000, 38(4), 456-462(7), NONE
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Abstract
공정에서 여러 장치에 의해 측정된 데이터들은 서로 일관성을 갖기 힘들며 물질, 에너지 수지를 만족시키지 않는다. 이러한 현상을 극복하여 모델에 일치하는 값을 얻기 위해 데이터 보정이 쓰인다. 측정 장치의 잘못된 영점 조정, 라인의 누출, 기기의 오동작 등에 의한 총계 오차는 데이터 보정 방법을 쓰기 위해서는 받드시 제거되어야 한다. 이 논문에서는 현재까지의 주요 오차 판별 방법들을 유틸리트 플랜트에서 발생할 수 있는 여러 가지 경우에 대해 적용하여 최적 방법을 선별하고 이 과정을 통하여 각 테스트들의 장단점을 파악하였다. 사용한 방법은 Chi Square 테스트, 측정 값 테스트, 제약 조건 테스트, Maximum Power 테스, Prinicipal Component 테스트이며 각 테스트별 최적 공정을 제시하였다.
The measured data in a utility plant have little consistency in both mass and energy balances due to random and gross erros, Data Reconciliation tries to resolve this inconsistency in measured data. Gross Erros that include leak, miscalibration of measurement instrumentation, and sensor malfunction should be detected and eliminated from the measured data. Severak methods for gross error detection such as Chi-square test, Measurement test, Constraint test, Maximum power test, and Principal component test are cinoared abd analyzed on several cases in a utility plant. This article summaruzed the distinguishing features in every tests and proposed optimal processes for each tests.
Keywords
References
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Vanderheijden RT, Heijnen JJ, Hellinga C, Romein B, Luyben KC, Biotechnol. Bioeng., 43(1), 3 (1994)
