在GUM Sup.1提出基于分布传播的不确定度评定基础上,系统地介绍了自适应蒙特卡罗方法进行不确定度评定的原理和步骤,并以此对线性测量模型和非线性测量模型进行了仿真,得出自适应蒙特卡罗方法对两类测量模型不确定度都有较好的评定效果,同时指出自适应蒙特卡罗方法中仿真次数M和数值容差δ的合理选择都需要进一步研究。
Abstract
GUM Sup.1 is concerned with the propagation of distribution through a mathematical model of measurement as a basis for evaluation of uncertainty of measurement. It introduced the principles and the detail processes of Adaptive Monte Carlo method to carry out the propagation of distribution. Then two measurement models were provided, including linear model and non-linear model, to validate the applicative of Adaptive Monte Carlo method. And it proved that both models reached the reasonable evaluation results. At the same time, some problems such as how to choose proper Monte Carlo simulation sample M and numerical tolerance δ were still need to be further researched.
关键词
计量学 /
自适应蒙特卡罗 /
测量不确定度 /
分布传播 /
仿真
Key words
metrology /
adaptive Monte Carlo /
measurement uncertainty /
propagation of distribution /
simulation
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参考文献
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基金
国家自然科学基金（71071147）; 浙江省教育厅项目（Y201329573）; 浙江省标准化与知识产权管理重点研究基地项目(SIPM 3207）
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