Application of Adaptive Monte Carlo Method on Measurement Uncertainty Evaluation

FANG Xing-hua; SONG Ming-shun; GU Long-fang; CHEN Yi-hua

doi:10.3969/j.issn.1000-1158.2016.04.27

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Acta Metrologica Sinica ›› 2016, Vol. 37 ›› Issue (4) : 452-456. DOI: 10.3969/j.issn.1000-1158.2016.04.27

Application of Adaptive Monte Carlo Method on Measurement Uncertainty Evaluation

FANG Xing-hua,SONG Ming-shun,GU Long-fang,CHEN Yi-hua

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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

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FANG Xing-hua,SONG Ming-shun,GU Long-fang,CHEN Yi-hua. Application of Adaptive Monte Carlo Method on Measurement Uncertainty Evaluation[J]. Acta Metrologica Sinica. 2016, 37(4): 452-456 https://doi.org/10.3969/j.issn.1000-1158.2016.04.27

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