• DocumentCode
    988799
  • Title

    Novel leak detection system for pipe type cable installations

  • Author

    Tylman, Wojciech ; Anders, George J. ; Ghafurian, Reza

  • Author_Institution
    Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Poland
  • Volume
    21
  • Issue
    3
  • fYear
    2006
  • fDate
    7/1/2006 12:00:00 AM
  • Firstpage
    1028
  • Lastpage
    1034
  • Abstract
    This paper presents a new application of modern numerical algorithms, such as neural and probabilistic networks, for monitoring pressure system installations. Theoretical background as well as custom implementation of the algorithms is presented, and a complete system for monitoring high-pressure, fluid-filled (HPFF) cables is described.
  • Keywords
    computerised monitoring; electric conduits; high-pressure techniques; installation; leak detection; neural nets; numerical analysis; power engineering computing; probability; high-pressure fluid-filled cables monitoring; leak detection system; neural networks; numerical algorithms; pipe type cable installation; probabilistic networks; Cables; Cities and towns; Corrosion; Costs; Dielectrics; Leak detection; Monitoring; Neural networks; Pumps; Urban areas; Dielectric fluid leak detection; neural networks; pipe type cables; probabilistic networks;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2006.874657
  • Filename
    1645134