• DocumentCode
    1295328
  • Title

    Application of joint time-frequency domain reflectometry for electric power cable diagnostics

  • Author

    Wang, Jiacheng ; Stone, P.E.C. ; Shin, Yong-June ; Dougal, Roger A.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of South Carolina, Columbia, SC, USA
  • Volume
    4
  • Issue
    4
  • fYear
    2010
  • fDate
    8/1/2010 12:00:00 AM
  • Firstpage
    395
  • Lastpage
    405
  • Abstract
    The integrity of the electric power cables is vital to the safety of an entire electrical system. To ensure the health of the cables, a technique is needed for both detecting/locating defects, and predicting hard defects before they occur. The theory and limitations of the classical wiring diagnostic techniques time domain reflectometry (TDR) and frequency domain reflectometry (FDR) are discussed. This study then introduces joint time-frequency domain reflectometry (JTFDR) as a unique solution for the cable diagnostics and prognostics. By employing an interrogating incident signal and advanced post-processing of the reflected signals, JTFDR is shown to be capable of overcoming those limitations. JTFDR is experimentally proven to be successful for detecting and locating both hard and incipient defects. The prognostic capabilities of JTFDR are also demonstrated via accelerated ageing tests of an electric power cable. By utilising the incident/reflected signal information in the time and frequency domains simultaneously, JTFDR is proven to be a more effective diagnostic technique than the classical TDR and FDR. JTFDR can also be used to monitor incipient defects and better predict hard defects before they occur.
  • Keywords
    electrical safety; fault diagnosis; power cables; time-domain reflectometry; accelerated ageing tests; defect detection; defect location; electric power cable diagnostics; electrical system safety; incident signal information; joint time-frequency domain reflectometry; prognostic capability; reflected signal information; wiring diagnostic techniques;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2009.0137
  • Filename
    5547943