• DocumentCode
    3258890
  • 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
  • fYear
    2005
  • fDate
    38485
  • Firstpage
    33
  • Lastpage
    38
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Methods for Uncertainty Estimation in Measurement, 2005. Proceedings of the 2005 IEEE International Workshop on
  • Print_ISBN
    0-7803-8979-4
  • Type

    conf

  • DOI
    10.1109/AMUEM.2005.1594600
  • Filename
    1594600
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3258890