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.