Title :
A polynomial chaos approach to measurement uncertainty
Author :
Lovett, T. ; Ponci, F. ; Monti, A.
Author_Institution :
Dept. of Electr. Eng., South Carolina Univ., Columbia, SC, USA
Abstract :
Measurement uncertainty is traditionally represented in the form of expanded uncertainty as is defined through the guide to the expression of uncertainty in measurement (GUM). The ISO GUM represents uncertainty through confidence intervals based on the variances and means derived from probability density functions (PDF). A new approach to the evaluation of measurement uncertainty based on the polynomial chaos theory is presented and compared with the traditional GUM method.
Keywords :
measurement uncertainty; polynomials; uncertain systems; GUM method; ISO GUM; expanded uncertainty; measurement uncertainty; polynomial chaos approach; probability density functions; stochastic circuits; uncertain systems; Chaos; Electric variables measurement; Equations; Gaussian distribution; ISO; Measurement uncertainty; Polynomials; Random processes; Shape; Stochastic processes;
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2005. Proceedings of the 2005 IEEE International Workshop on
Print_ISBN :
0-7803-8979-4
DOI :
10.1109/AMUEM.2005.1594600
