DocumentCode :
1732121
Title :
Modeling permittivity measurement probes by using a genetic algorithm
Author :
Bartley, Philip G., Jr. ; Nelson, Stuart O. ; McClendon, Ronald W. ; Potter, Walter D.
Author_Institution :
Dept. of Biol. & Agric. Eng., Georgia Univ., Athens, GA, USA
Volume :
1
fYear :
2004
Firstpage :
52
Abstract :
A systematic approach is developed for modeling permitivity measurement probes. The technique was used to model a commercially available probe. This model was functionally equivalent to the provided model developed with traditional electromagnetic techniques. The approach utilizes the results of a dimensional analysis and a genetic algorithm to find an appropriate model for a probe. The only information required is uncorrected reflection-coefficient measurements on a variety of materials of known permittivity. The need to perform an electromagnetic analysis based on the geometry of a given probe and its construction is not required. This allows candidate probes that cannot easily be analyzed by traditional techniques to be considered for use.
Keywords :
coaxial cables; genetic algorithms; permittivity measurement; probes; coaxial probe; dielectric measurement; dielectric probe; dimensional analysis; electromagnetic analysis; electromagnetic techniques; genetic algorithm; network analyzer; open-ended coaxial-line probe; permittivity measurement probes; probe geometry; reflection-coefficient measurements; Agricultural engineering; Automotive engineering; Biological system modeling; Coaxial components; Dielectric materials; Dielectric measurements; Genetic algorithms; Knowledge engineering; Permittivity measurement; Probes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2004. IMTC 04. Proceedings of the 21st IEEE
ISSN :
1091-5281
Print_ISBN :
0-7803-8248-X
Type :
conf
DOI :
10.1109/IMTC.2004.1350993
Filename :
1350993
Link To Document :
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