eprintid: 609
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/06/09
datestamp: 2023-11-09 15:48:45
lastmod: 2023-11-09 15:48:45
status_changed: 2023-11-09 15:22:48
type: conference_item
metadata_visibility: show
creators_name: Akib, A.B.M.
creators_name: Saad, N.
creators_name: Asirvadam, V.
title: System identification for modelling gas flow with a leakage
ispublished: pub
keywords: Accidental and dispersion; AR models; ARX model; Gas dispersion; Mass loss, Accidents; Bubbles (in fluids); Dispersions; Gases; Health hazards; Health risks; Leakage (fluid); Pattern recognition; Risk analysis; Risk assessment; Safety factor; Soft computing; Three dimensional, Three dimensional computer graphics
note: 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
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. © 2009 IEEE.
date: 2009
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77649287804&doi=10.1109%2fSoCPaR.2009.46&partnerID=40&md5=63aec3811f55146248419394dfbf6f2b
id_number: 10.1109/SoCPaR.2009.46
full_text_status: none
publication: SoCPaR 2009 - Soft Computing and Pattern Recognition
place_of_pub: Malacca
pagerange: 184-189
refereed: TRUE
isbn: 9780769538792
citation:   Akib, A.B.M. and Saad, N. and Asirvadam, V.  (2009) System identification for modelling gas flow with a leakage.  In: UNSPECIFIED.