• DocumentCode
    2596025
  • Title

    FFT- based spectral response for smaller pipeline leak detection

  • Author

    Lay-Ekuakille, Aime ; Trotta, Angelo ; Vendramin, Giuseppe

  • Author_Institution
    Dipt. d´Ing. dell´Innovazione, Univ. of Salento, Lecce, Italy
  • fYear
    2009
  • fDate
    5-7 May 2009
  • Firstpage
    328
  • Lastpage
    331
  • Abstract
    Leak detection and control for pipelines is an important aspect for managing economic key issues, namely, saving water in urban water distribution network, protecting oil pipelines and allowing a correct conveying of harmful and toxic fluids. Basing the reflexion according to fast detecting systems, spectral analysis response is a topic of interest. Among spectral analysis response techniques, FFT (Fast Fourier Transform) is rated. Different other techniques are utilized but they are costly and difficult to be used. The research proposes the use of FFT for smaller pipelines by overcoming limitations encountered in current scientific literature. The developed improvements, used for pipeline section small than 20 cm, permit to detect and to prevent leaks with less accuracy, the leakage.
  • Keywords
    fast Fourier transforms; leak detection; maintenance engineering; pipelines; spectral analysis; toxicology; water supply; FFT- based spectral response; economic key issues; fast Fourier transform; leakage prevention; oil pipeline protection; pipeline leak detection; spectral analysis response; toxic fluids; urban water distribution network; Fluid flow measurement; Leak detection; Pipelines; Pollution measurement; Pressure measurement; Protection; Spectral analysis; Transient analysis; Water pollution; Water resources; FFT; Pipeline leak detection; Spectral response; flow measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
  • Conference_Location
    Singapore
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-3352-0
  • Type

    conf

  • DOI
    10.1109/IMTC.2009.5168469
  • Filename
    5168469