• DocumentCode
    833303
  • Title

    Linear and nonlinear data fitting for dielectrics

  • Author

    Wintle, H.J.

  • Author_Institution
    Dept. of Phys., Queen´´s Univ., Kingston, Ont., Canada
  • Volume
    9
  • Issue
    5
  • fYear
    2002
  • fDate
    10/1/2002 12:00:00 AM
  • Firstpage
    845
  • Lastpage
    849
  • Abstract
    The author discusses some of the problems associated with data fitting, particularly the case of uncertainties in all the variables, the possibly misleading results of algorithmic convergence, and also the limitations imposed by some commercial software. He suggests that the presence of local minima in the fitting function means that the parameters derived from the fitting may be subject to much larger uncertainty than often is suggested. He also addresses the difficulty of making accurate numerical Laplace transforms, even when regularization techniques are employed. His general conclusion is that the parameters derived by modeling dielectric data are liable to have considerable uncertainty.
  • Keywords
    Laplace transforms; curve fitting; dielectric materials; electric breakdown; insulation testing; algorithmic convergence; dielectric breakdown measurements; dielectric data modelling; fitting function; linear data fitting; nonlinear data fitting; numerical Laplace transforms; regularization techniques; Curve fitting; Dielectric loss measurement; Dielectric losses; Dielectric measurements; Frequency; Optical losses; Physics; Pulse measurements; Surface fitting; Temperature;
  • fLanguage
    English
  • Journal_Title
    Dielectrics and Electrical Insulation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1070-9878
  • Type

    jour

  • DOI
    10.1109/TDEI.2002.1038667
  • Filename
    1038667