• DocumentCode
    2057155
  • Title

    Comparison between impedance method and FDM algorithms for leak detection in urban waterworks

  • Author

    Lay-Ekuakille, Aimé ; Vergallo, Patrizia ; Giannone, Cosimo

  • Author_Institution
    Dipt. d´´ Ing. dell´´Innovazione, Univ. of Salento, Lecce, Italy
  • fYear
    2012
  • fDate
    20-23 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Leakage of water in distributing urban waterworks is a matter of concerns for its impacts on environment and daily human life. Water is not unlimited resource especially running and fresh water. The research, included in vast framework, intends to render some outcomes regarding the application of leak detection in pipelines. The kind of pipeline considered in this research is a zigzag one with bends. Leak detection speed and its magnitude are most significant because they allow to save money and time. Because of the zigzag configuration and the small section, it is not easy to do that for this case. This research proposes a comparison between two important techniques used for computing and detecting leakage in pipelines. They are FDM (Filter Diagonalization Method) and impedance method.
  • Keywords
    condition monitoring; leak detection; pipelines; town and country planning; water resources; water supply; FDM algorithms; filter diagonalization method; impedance method; pipelines; urban waterworks distribution; water leak detection; water resources; Frequency division multiplexing; Impedance; Impedance measurement; Leak detection; Pipelines; Pulse width modulation; Vibrations; Environmental measurements; FDM; impedance method; leak detection in waterworks; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals and Devices (SSD), 2012 9th International Multi-Conference on
  • Conference_Location
    Chemnitz
  • Print_ISBN
    978-1-4673-1590-6
  • Electronic_ISBN
    978-1-4673-1589-0
  • Type

    conf

  • DOI
    10.1109/SSD.2012.6198116
  • Filename
    6198116