• 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