Correlation verification of uncertainty sources for fan energy efficiency test based on Monte Carlo simulation
Ling Li, Huadong Fu, Zhongyu Wang, Jun Yu Wu, Jing Guo Lv, Yinbao Cheng · 2019
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.