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

Ling Li; Huadong Fu; Zhongyu Wang; Jun Wu; Jing Lyu; Yinbao Cheng

doi:10.1117/12.2548063

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13 November 2019 Correlation verification of uncertainty sources for fan energy efficiency test based on Monte Carlo simulation

Ling Li, Huadong Fu, Zhongyu Wang, Jun Wu, Jing Lyu, Yinbao Cheng

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Proceedings Volume 11343, Ninth International Symposium on Precision Mechanical Measurements; 113430L (2019) https://doi.org/10.1117/12.2548063
Event: International Symposium on Precision Mechanical Measurements 2019, 2019, Chongqing, China

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.

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Ling Li, Huadong Fu, Zhongyu Wang, Jun Wu, Jing Lyu, and Yinbao Cheng "Correlation verification of uncertainty sources for fan energy efficiency test based on Monte Carlo simulation", Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 113430L (13 November 2019); https://doi.org/10.1117/12.2548063

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