| 학회 |
한국화학공학회 |
| 학술대회 |
2002년 가을 (10/24 ~ 10/26, 서울대학교) |
| 권호 |
8권 2호, p.2917 |
| 발표분야 |
공정시스템 |
| 제목 |
혼합정수비선형계획법을 이용한 총계오차 크기 예측과 데이터 보정 |
| 초록 |
Process measurements contain random and gross errors and the size estimation of gross errors is required for production accounting. Mixed integer programming technique had been applied to identify and estimate the gross errors simultaneously. However, the compensate model based on mixed integer programming used all measured variables or spanning tree as gross error candidates. This makes gross error estimation problem combinatorial or computationally expensive. Mixed integer programming with test statistics is proposed for computationally inexpensive gross error identification/estimation. The gross error candidates are identified by measurement test and the set of gross error candidates are formulated as integer variables to confirm and estimate the size of gross errors in mixed integer programming. The proposed method is applied to the iron and steel making plant and the results are compared with the previous methods. |
| 저자 |
이희석, 신학철, 김정환, 한종훈
|
| 소속 |
포항공과대 |
| 키워드 |
Multiple gross errors; data reconciliation; mixed integer programming; iron and steel making plant
|
| E-Mail |
, , , |
| VOD |
VOD 보기 |
| 원문파일 |
초록 보기 |
