{"title":"System Identification for Modelling Gas Flow with a Leakage","authors":"Afif bin Md Akib, N. Saad, V. Asirvadam","doi":"10.1109/SoCPaR.2009.46","DOIUrl":null,"url":null,"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.","PeriodicalId":284743,"journal":{"name":"2009 International Conference of Soft Computing and Pattern Recognition","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference of Soft Computing and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SoCPaR.2009.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
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.
有毒气体的意外和扩散一直是加工工业必须处理的对公众健康和安全的主要危害。以风险分析为目的,需要进行真实地形弥散仿真,以评估任何潜在的风险。本文描述了三维瓦斯成图模拟应用中预测瓦斯分散模型的可能性。气体液态的相对质量损失将作为将要建模的过程的输入引入。仿真研究表明,OE(输出误差)模型在识别系统方面具有良好的效果。OE模型也分别显示出与ARX (Auto Regression with Extra Input)和AR (Auto Regression with Extra Input)模型相当和优越的结果。