Measurand value estimation in nonlinear models: A comparison between two averaging methods

Author

Macii, D. ; Mari, L. ; Petri, D.

Author_Institution

Dipt. di Ing. e Sci. dell´´Inf., Univ. of Trento, Trento

fYear

2008

fDate

21-22 July 2008

Firstpage

22

Lastpage

27

Abstract

The problem of how to choose the best estimation method for a measurand value when repeated measurements of the input quantities to a nonlinear model are performed is not clearly addressed in the guide to the expression of uncertainty in measurement. In this paper, this issue is tackled by analyzing and comparing the effect of both definitional and acquisition uncertainty contributions on the overall uncertainty resulting from the application of the two averaging methods mentioned in the Guide. The achieved theoretical results, validated by means of some simulations, provide effective suggestions about which method should be used in different contexts.

Keywords

measurement theory; measurement uncertainty; nonlinear estimation; acquisition uncertainty; averaging methods; definitional uncertainty; measurand value estimation; measurement uncertainty; nonlinear models; Analytical models; Context modeling; Current measurement; Electronic mail; Equations; Measurement standards; Measurement uncertainty; Particle measurements; Performance evaluation; Measurement uncertainty; foundations of measurement; measurand value;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Methods for Uncertainty Estimation in Measurement, 2008. AMUEM 2008. IEEE International Workshop on

Conference_Location

Trento

Print_ISBN

978-1-4244-2236-4

Electronic_ISBN

978-1-4244-2237-1

Type

conf

DOI

10.1109/AMUEM.2008.4589929

Filename

4589929