System identification for modelling gas flow with a leakage
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 o...
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my.utp.eprints.40512011-01-18T08:05:12Z System identification for modelling gas flow with a leakage Akib, Afifi Saad , Nordin Asirvadam , Vijanth Sagayan TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science 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. 2009-12 Conference or Workshop Item PeerReviewed http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05370092 Akib, Afifi and Saad , Nordin and Asirvadam , Vijanth Sagayan (2009) System identification for modelling gas flow with a leakage. In: International Conference on Soft Computing and Pattern Recognition, SoCPaR 2009. http://eprints.utp.edu.my/4051/ |
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TK Electrical engineering. Electronics Nuclear engineering QA75 Electronic computers. Computer science Akib, Afifi Saad , Nordin Asirvadam , Vijanth Sagayan System identification for modelling gas flow with a leakage |
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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. |
format |
Conference or Workshop Item |
author |
Akib, Afifi Saad , Nordin Asirvadam , Vijanth Sagayan |
author_facet |
Akib, Afifi Saad , Nordin Asirvadam , Vijanth Sagayan |
author_sort |
Akib, Afifi |
title |
System identification for modelling gas flow with a leakage |
title_short |
System identification for modelling gas flow with a leakage |
title_full |
System identification for modelling gas flow with a leakage |
title_fullStr |
System identification for modelling gas flow with a leakage |
title_full_unstemmed |
System identification for modelling gas flow with a leakage |
title_sort |
system identification for modelling gas flow with a leakage |
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2009 |
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http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=05370092 http://eprints.utp.edu.my/4051/ |
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