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
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