• DocumentCode
    1888186
  • Title

    Inverse scattering for lossy electric transmission line soft fault diagnosis

  • Author

    Tang, Huaibin ; Zhang, Qinghua

  • Author_Institution
    INRIA-IRISA, Rennes, France
  • fYear
    2010
  • fDate
    11-17 July 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For the development of reliable electric and electronic systems, a promising technology for transmission line fault diagnosis is the reflectometry, which consists in analyzing the reflection and the transmission of electric waves observed at the ends of a transmission line. For hard fault (open or short circuits) diagnosis, efficient reflectometry-based methods have been reported. However, the diagnosis of soft faults (spatially continuous variations of distributed characteristic properties) remains an open problem. Reflectometry-based soft fault diagnosis can be formulated as an inverse problem: given the reflectometry measurements made at the ends of a transmission line, what are the distributed characteristic properties of the transmission line? In this paper, the application of the inverse scattering transform (IST) to this inverse problem for lossy transmission lines is studied.
  • Keywords
    electromagnetic wave scattering; electromagnetic wave transmission; fault diagnosis; inverse problems; reflectometry; transmission lines; distributed characteristic property; electric wave transmission; hard fault; inverse problem; inverse scattering transform; lossy electric transmission line; open circuit diagnosis; reflectometry; reliable electronic system; short circuit diagnosis; soft fault diagnosis; transmission line fault diagnosis; Computational modeling; Equations; Inverse problems; Power transmission lines; Propagation losses; Scattering; Transmission line measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
  • Conference_Location
    Toronto, ON
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-4967-5
  • Type

    conf

  • DOI
    10.1109/APS.2010.5561688
  • Filename
    5561688