2001Fluids EngineeringRequires access

A Nonsymmetrical Uncertainty Analysis Method

C. Xu, R. S. Amano

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Abstract

Abstract An uncertainty evaluation method was proposed to reasonably consider the measurement uncertainty for measured variables which have nonsymmetric uncertainty components. The present method considers the nonsymmetrical uncertainty as one of the important parts of the uncertainty evaluation of measurements, which has not been dealt with in detail in previous uncertainty evaluation method. The present method provides more reasonable way to evaluate measurement uncertainty than other existing methods. The method is applied to report the uncertainty of a dynamic pressure measurement system.

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What this paper is about

Abstract An uncertainty evaluation method was proposed to reasonably consider the measurement uncertainty for measured variables which have nonsymmetric uncertainty components. The present method considers the nonsymmetrical uncertainty as one of the important parts of the uncertainty evaluation of measurements, which has not been dealt with in detail in previous uncertainty evaluation method. The present method provides more reasonable way to evaluate measurement uncertainty than other existing methods. The method is applied to report the uncertainty of a dynamic pressure measurement system.

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Available abstract

Abstract An uncertainty evaluation method was proposed to reasonably consider the measurement uncertainty for measured variables which have nonsymmetric uncertainty components. The present method considers the nonsymmetrical uncertainty as one of the important parts of the uncertainty evaluation of measurements, which has not been dealt with in detail in previous uncertainty evaluation method. The present method provides more reasonable way to evaluate measurement uncertainty than other existing methods. The method is applied to report the uncertainty of a dynamic pressure measurement system.

Key concepts: Measurement uncertainty, Uncertainty analysis, Sensitivity analysis, Standard uncertainty, Computer science, Propagation of uncertainty, Uncertainty quantification, Uncertainty theory

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