MATEC Web Conf.
Volume 206, 20182018 The 3rd International Conference on Civil Engineering and Materials Science (ICCEMS 2018)
|Number of page(s)
|Mechanical and Automotive Engineering
|19 September 2018
Evaluation of Measurement Uncertainty Based on Monte Carlo Method
School of Intelligent Science, National University of Defense Technology, Changsha, China
The developments of scientific technology are inseparable from various measurement methods. Measurement uncertainty is an indication that evaluates the credibility of the measurement results directly, and it affects the development of technology and economy indirectly. Monte Carlo method (MCM) is an effective method to evaluate the measurement uncertainty, because it can evaluate the measurement uncertainty in the complex model and environment. The application range of MCM is large than the traditional method that recommended in the “Guide to the Uncertainty in Measurement (GUM)”. Based on the study of Monte Carlo method, this paper establishes a model for MCM to evaluate the uncertainty of measurement. Finally, as an example, we use the MCM to evaluate the measurement uncertainty of the six-and-a-half digital multimeter (DMM), which verifies the validity of MCM for evaluating the measurement uncertainty.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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