| Issue |
MATEC Web Conf.
Volume 206, 2018
2018 The 3rd International Conference on Civil Engineering and Materials Science (ICCEMS 2018)
|
|
|---|---|---|
| Article Number | 04004 | |
| Number of page(s) | 5 | |
| Section | Mechanical and Automotive Engineering | |
| DOI | https://doi.org/10.1051/matecconf/201820604004 | |
| Published online | 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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.