摘要
动态测量不确定度的评定一直是比较复杂的问题,到目前为止,国内外有许多学者对这一问题进行了探索与研究,给出了一些评定的方法,但这些方法都存在自身的缺点与不足,还不能给出十分精确的评定结果。因此,通过对现有基于贝叶斯理论的动态测量不确定度评定方法进行分析,用最大熵原理改进其先验分布的选择与计算方法,从而有效提高计算后验分布的精度,最终提高不确定度的计算准确度。
Assessment of dynamic measurement uncertainty is a complicated problem and has received much attention.Many researchers have studied this problem and provided assessing methods.However,these methods still have their limitations and cannot provide accurate result.In this paper,a new method based on Bays theories was presented to for the calculation of measurement uncertainty.By analyzing existing methods and using Maximum Entropy Method（MEM） to calculate former distribution,the accuracy of behind distribution can be improved,thus the accuracy of measurement uncertainty can be improved.
出处
《中国测试》
CAS
2011年第1期35-37,共3页
China Measurement & Test
作者简介
宋兵（1985-），男，辽宁丹东市人，硕士研究生，专业方向为检测技术与自动化装置、动态测量理论。
