• DocumentCode
    1854804
  • Title

    A novel method for wire fault location using reflectometry and iterative deconvolution

  • Author

    Qinghai Shi ; Kanoun, Olfa

  • Author_Institution
    Meas. & Sensor Technol., Chemnitz Univ. of Technol., Chemnitz, Germany
  • Volume
    3
  • fYear
    2012
  • fDate
    21-25 Oct. 2012
  • Firstpage
    2139
  • Lastpage
    2143
  • Abstract
    The novelty of this paper is to propose an efficient method for the detection and location of wiring faults with transfer function analysis using time domain reflectometry (TDR), iterative deconvolution and optimization techniques. The paper shows how iterative deconvolution and optimization techniques are used to locate hard faults, small discontinuities and enhance the signal-to-noise ratio. The developed method can also be applied to characterize the wire faults in the branches of the network. The adaptive filters are applied to reduce the deconvolution noise. The performance of three frequency domain deconvolution techniques, the short window function, the optimum compensation and the automated-regularization technique are applied to solve the ill-posed inverse problem for the transfer function between incident and reflected waves. The proposed approach was applied to locate faults on the shielded coaxial cables and twisted pair cables.
  • Keywords
    adaptive filters; coaxial cables; inverse problems; iterative methods; optimisation; time-domain analysis; transfer functions; twisted pair cables; TDR; adaptive filters; automated-regularization technique; deconvolution noise reduction; ill-posed inverse problem; incident waves; iterative deconvolution; optimization techniques; reflected waves; shielded coaxial cables; short window function; signal-to-noise ratio; time domain reflectometry; transfer function analysis; twisted pair cables; wire fault location; iterative deconvolution; optimization criteria; reflected waves; time domain reflectometry; trasfer function between incident; wire faults location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2012 IEEE 11th International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2164-5221
  • Print_ISBN
    978-1-4673-2196-9
  • Type

    conf

  • DOI
    10.1109/ICoSP.2012.6492004
  • Filename
    6492004