• DocumentCode
    3636800
  • Title

    Gas pipelines LPV modelling and identification for leakage detection

  • Author

    P. Lopes dos Santos;T-P Azevedo-Perdicoúlis;J. A. Ramos;G. Jank;J. L. Martins de Carvalho;J. Milhinhos

  • Author_Institution
    Faculdade de Engenharia da Universidade do Porto, Rua Dr Roberto Frias s/n, 4200-465 Porto, Portugal
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    1211
  • Lastpage
    1216
  • Abstract
    A new approach to gas leakage detection in high pressure distribution networks is proposed, where the pipeline is modelled as a Linear Parameter Varying (LPV) System driven by the source node mass flow with the pressure as the scheduling parameter, and the system output as the mass flow at the offtake. Using a recently proposed successive approximations LPV system subspace identification algorithm, the pipeline is thus identified from operational data. The leak is detected using a Kalman filter where the fault is treated as an augmented state. The effectiveness of this method is illustrated with an example with a mixture of real and simulated data.
  • Keywords
    "Pipelines","Leak detection","Integral equations","Monitoring","Iterative algorithms","Convergence","Fluid flow measurement","Fault detection","Iterative methods","Difference equations"
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531022
  • Filename
    5531022