Title :
A polynomial chaos approach to measurement uncertainty
Author :
Lovett, Teems E. ; Ponci, Ferdinanda ; Monti, Antonello
Author_Institution :
Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC
fDate :
6/1/2006 12:00:00 AM
Abstract :
Measurement uncertainty is traditionally represented in the form of expanded uncertainty as defined through the Guide to the Expression of Uncertainty in Measurement (GUM). The International Organization for Standardization GUM represents uncertainty through confidence intervals based on the variances and means derived from probability density functions. 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 :
chaos; measurement uncertainty; polynomials; probability; GUM method; expanded uncertainty; measurement uncertainty; polynomial chaos theory; probability density functions; Chaos; Gaussian distribution; ISO; Measurement uncertainty; Polynomials; Probability density function; Random processes; Stochastic processes; Stochastic systems; Uncertain systems; Measurement standards; polynomials; stochastic systems; uncertain systems; uncertainty;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
DOI :
10.1109/TIM.2006.873807
