TY  - CONF
SP  - 184
KW  - Accidental and dispersion; AR models; ARX model; Gas dispersion; Mass loss
KW  -  Accidents; Bubbles (in fluids); Dispersions; Gases; Health hazards; Health risks; Leakage (fluid); Pattern recognition; Risk analysis; Risk assessment; Safety factor; Soft computing; Three dimensional
KW  -  Three dimensional computer graphics
N1  - cited By 2; Conference of International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 ; Conference Date: 4 December 2009 Through 7 December 2009; Conference Code:79459
EP  - 189
A1  - Akib, A.B.M.
A1  - Saad, N.
A1  - Asirvadam, V.
Y1  - 2009///
TI  - System identification for modelling gas flow with a leakage
SN  - 9780769538792
ID  - scholars609
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77649287804&doi=10.1109%2fSoCPaR.2009.46&partnerID=40&md5=63aec3811f55146248419394dfbf6f2b
CY  - Malacca
N2  - 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. © 2009 IEEE.
ER  -