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Correlation verification of uncertainty sources for fan energy efficiency test based on Monte Carlo simulation
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Paper Abstract

There are a large amount of input quantities and complicated correlation of uncertainty source which limit the reliability of the GUM method to evaluate the uncertainty of the measurement result in the fan energy efficiency test system. Based on the technical advantages of computer random sampling, Monte Carlo uncertainty evaluation method was given to solve the correlation of uncertainty sources of fan energy efficiency test system in traditional GUM method. It can be concluded through the experiment that the results of the GUM method without considering the correlation were basically consistent with the results of the MCM method obtained by computer sampling.

Paper Details

Date Published: 13 November 2019
PDF: 6 pages
Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 113430L (13 November 2019); doi: 10.1117/12.2548063
Show Author Affiliations
Ling Li, Beihang Univ. (China)
Huadong Fu, China National Accreditation Service for Conformity Assessment (China)
Zhongyu Wang, Beihang Univ. (China)
Jun Wu, Anhui Institute of Metrology (China)
Jing Lyu, China National Accreditation Service for Conformity Assessment (China)
Yinbao Cheng, Beihang Univ. (China)


Published in SPIE Proceedings Vol. 11343:
Ninth International Symposium on Precision Mechanical Measurements
Liandong Yu, Editor(s)

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