• DocumentCode
    2950515
  • Title

    Application of deconvolution for wire fault location using time domain reflectometry

  • Author

    Qinghai Shi ; Kanoun, Olfa

  • Author_Institution
    Dept. of Meas. & Sensor Technol., Chemnitz Univ. of Technol., Chemnitz, Germany
  • fYear
    2012
  • fDate
    28-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper is to propose an efficient novel method for the wire fault detection 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, enhance the signal-to-noise ratio for detecting small discontinuities. This 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 coaxial cables and twisted pair cables.
  • Keywords
    adaptive filters; coaxial cables; deconvolution; fault location; frequency-domain analysis; inverse problems; iterative methods; optimisation; time-domain reflectometry; transfer functions; twisted pair cables; wires (electric); adaptive filter; automated regularization technique; coaxial cable; discontinuity detection; frequency domain deconvolution; ill-posed inverse problem; iterative deconvolution; optimization; signal-to-noise ratio; time domain reflectometry; transfer function analysis; twisted pair cable; wire fault location; Adaptive filters; Circuit faults; Coaxial cables; Deconvolution; Noise; Time domain analysis; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2012 IEEE
  • Conference_Location
    Taipei
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4577-1766-6
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2012.6411409
  • Filename
    6411409