• DocumentCode
    2928948
  • Title

    System Identification for Modelling Gas Flow with a Leakage

  • Author

    bin Md Akib, Afifi ; Saad, Nordin ; Asirvadam, Vijanth

  • Author_Institution
    Dept. of Electr. & Electron. Eng, Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2009
  • fDate
    4-7 Dec. 2009
  • Firstpage
    184
  • Lastpage
    189
  • Abstract
    Accidental and dispersion of toxic gases were always major hazards for public health and safety that process industries had to deal with. Real terrain dispersion simulation for risk analysis purpose is needed to evaluate any risk potential. This paper describe possibilities of predicting the model of gas dispersion for the simulation of 3D gas mapping application. Relative mass loss of the liquid state of the gas will be introduced as inputs of the process that will be modeled. Simulation study shows OE (output error) model shows promising result in identifying the system. The OE model also show comparable and superior results to ARX (auto regression with extra input) and AR (auto regression) model respectively.
  • Keywords
    autoregressive processes; leak detection; pipelines; safety; 3D gas mapping application; autoregression with extra input; gas flow modelling; public health; public safety; real terrain dispersion simulation; risk analysis purpose; system identification; toxic gases; Analytical models; Fluid flow; Gas industry; Gases; Hazards; Health and safety; Industrial accidents; Predictive models; Public healthcare; System identification; AR model; ARX model; Accidental and dispersion; OE model; mass loss; model of gas dispersion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4244-5330-6
  • Electronic_ISBN
    978-0-7695-3879-2
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2009.46
  • Filename
    5370092