• DocumentCode
    109540
  • Title

    Wire Fault Location in Coaxial Cables by Impedance Spectroscopy

  • Author

    Qinghai Shi ; Kanoun, Olfa

  • Author_Institution
    Dept. of Meas. & Sensor Technol., Chemnitz Univ. of Technol., Chemnitz, Germany
  • Volume
    13
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    4465
  • Lastpage
    4473
  • Abstract
    A new technique is proposed to detect and locate wire faults using the impedance spectroscopy and a model-based approach. A modeling approach for transmission lines is developed, in which every cable part having the same characteristic impedance is represented analytically by a frequency-dependent ABCD model. The model parameter extraction is resolved by global optimization techniques based on genetic algorithms leading to a robust convergence behavior and excellent accuracy. This novel method enables the location of hard and soft faults and the identification of types of wire faults. The bandwidth of the developed transmission line model fits to experimental results, so that influence effects such as losses, dispersion, and frequency-dependent signal propagation can be precisely modeled. The calculation time is not proportional to the wiring length or dependent on cable system complexity by numerical methods such as FDTD.
  • Keywords
    coaxial cables; fault location; finite difference time-domain analysis; genetic algorithms; transmission lines; FDTD; cable system complexity; characteristic impedance; coaxial cables; frequency-dependent ABCD model; frequency-dependent signal propagation; genetic algorithms; global optimization techniques; hard faults; impedance spectroscopy; model parameter extraction; numerical methods; robust convergence behavior; soft faults; transmission line model; wire fault detection; wire fault location; wiring length; Impedance Spectroscopy (IS); coaxial cable; genetic algorithm (GA); global optimization technique; model-based signals processing; wire fault location;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2269218
  • Filename
    6542639