Evaluation of Measurement Uncertainty from Imperfect Data

Xiao Zhang Zhang; Ai Dong Ge; Jian Wei Ma; Yu Jie Bai

doi:10.4028/www.scientific.net/AMM.457-458.815

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 457-458Evaluation of Measurement Uncertainty from...

Evaluation of Measurement Uncertainty from Imperfect Data

Abstract:

The uncertainty evaluation process of imperfect experimental data is presented in this paper. In the process, data neither in steady state nor under normal distribution compared with the conventional assumptions are considered. Results of the evaluation show that the uncertainty is asymmetry to the mean of the data while symmetry in conventional way. Furthermore, three ways to deal with the uncertainty propagation are discussed, and the probability propagation is simulated by Monte Carlo method.

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Periodical:

Applied Mechanics and Materials (Volumes 457-458)

Pages:

815-820

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.457-458.815

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Online since:

October 2013

Authors:

Xiao Zhang Zhang, Ai Dong Ge, Jian Wei Ma, Yu Jie Bai

Keywords:

Imperfect Data, Monte Carlo Method, Uncertainty Evaluation, Uncertainty Propagation

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References

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