基于自适应蒙特卡罗方法的测量不确定度评定

doi:10.3969/j.issn.1000-1158.2016.04.27

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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.

Key words： metrology adaptive Monte Carlo measurement uncertainty propagation of distribution simulation

Received: 16 March 2015 Published: 31 May 2016

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	Articles by authors
	FANG Xing-hua
	SONG Ming-shun
	GU Long-fang
	CHEN Yi-hua

Cite this article:

FANG Xing-hua,SONG Ming-shun,GU Long-fang, et al. Application of Adaptive Monte Carlo Method on Measurement Uncertainty Evaluation[J]. Acta Metrologica Sinica, 2016, 37(4): 452-456.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2016.04.27 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2016/V37/I4/452

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