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
Link To Document :
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