DocumentCode
945912
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
Volume
55
Issue
3
fYear
2006
fDate
6/1/2006 12:00:00 AM
Firstpage
729
Lastpage
736
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;
fLanguage
English
Journal_Title
Instrumentation and Measurement, IEEE Transactions on
Publisher
ieee
ISSN
0018-9456
Type
jour
DOI
10.1109/TIM.2006.873807
Filename
1634861
Link To Document