원문정보
Model Classification and Evaluation of Measurement Uncertainty
초록
영어
This paper is to propose model classification and evaluation of measurement uncertainty. In order to obtain type A and B uncertainty, variety of measurement mathematical models are illustrated by example. The four steps to evaluate expanded uncertainty are indicated as following; First, to get type A standard uncertainty, measurement mathematical models of single, double, multiple, design of experiment and serial autocorrelation are shown. Second, to solve type B standard uncertainty measurement mathematical models of empirical probability distributions and multivariate are presented. Third, type A and B combined uncertainty, considering sensitivity coefficient, linearity and correlation are discussed. Lastly, expanded uncertainty, considering degree of freedom for type A, B uncertainty and coverage factor are presented with uncertainty budget. SPC control chart to control expanded uncertainty is shown.
목차
1. 서론
2. A형 표준 불확도(Type A Standard Uncertainty)모형
2.1 일변량 측정 모형
2.2 이변량 측정 모형
2.3 다변량 측정 모형
2.4 실험계획 측정 모형
2.5 시계열 자동 상관 측정 모형
3. B형 표준 불확도 (Type B Standard Uncertainty) 모형
3.1 다변량 확률분포모형
3.2 다변량 분석 모형
4. 결합 불확도(Combined Uncentainty)모형
4.1 A형 결합 불확도
4.2 B형 결합 불확도
5. 확장 불확도(Expanded Uncertainty) 모형
5.1 확장 불확도 모형
5.2 자유도(Degree of Freedom)
5.3 유효자유도와 포함인자
5.4 확장 불확도 표현 및 SPC관리도
6. 결론
7. 참고문헌
