Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling

It is known that automated model generation (AMG) techniques are sufficiently mature to handle linear systems. Other AMG techniques have been working reasonably well for various levels of nonlinear behavior. However, most of the modeling are performed under MATLAB environment. To be more realis...

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Main Authors: Xia, Likun, Farooq , Muhammad Umer, Hussin, Fawnizu Azmadi, Malik, Aamir Saeed
Format: Conference or Workshop Item
Published: 2012
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Online Access:http://eprints.utp.edu.my/8443/1/ICIEA_2012.pdf
http://iciea.elite.sg/2012/
http://eprints.utp.edu.my/8443/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.84432017-01-19T08:21:25Z Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling Xia, Likun Farooq , Muhammad Umer Hussin, Fawnizu Azmadi Malik, Aamir Saeed Q Science (General) It is known that automated model generation (AMG) techniques are sufficiently mature to handle linear systems. Other AMG techniques have been working reasonably well for various levels of nonlinear behavior. However, most of the modeling are performed under MATLAB environment. To be more realistic, the models need to be translated into hardware description language (HDL) models, such as VHDL-AMS or Verilog-AMS models, to perform high level modeling (HLM) and high level fault modeling (HLFM), which is a challenging task due to its nonlinear behavior. In this paper, the capability of System Identification (SI) based nonlinear AMG techniques is investigated by converting MATLAB models into VHDL-AMS models and to perform HLFM. Several faults are modeled successfully in MATLAB environment using AMG. However,they failed to perform HLFM when run in HDL simulator SystemVision. 2012-07-02 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/8443/1/ICIEA_2012.pdf http://iciea.elite.sg/2012/ Xia, Likun and Farooq , Muhammad Umer and Hussin, Fawnizu Azmadi and Malik, Aamir Saeed (2012) Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling. In: 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), July 18-20, 2012, Singapore. http://eprints.utp.edu.my/8443/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
spellingShingle Q Science (General)
Xia, Likun
Farooq , Muhammad Umer
Hussin, Fawnizu Azmadi
Malik, Aamir Saeed
Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling
description It is known that automated model generation (AMG) techniques are sufficiently mature to handle linear systems. Other AMG techniques have been working reasonably well for various levels of nonlinear behavior. However, most of the modeling are performed under MATLAB environment. To be more realistic, the models need to be translated into hardware description language (HDL) models, such as VHDL-AMS or Verilog-AMS models, to perform high level modeling (HLM) and high level fault modeling (HLFM), which is a challenging task due to its nonlinear behavior. In this paper, the capability of System Identification (SI) based nonlinear AMG techniques is investigated by converting MATLAB models into VHDL-AMS models and to perform HLFM. Several faults are modeled successfully in MATLAB environment using AMG. However,they failed to perform HLFM when run in HDL simulator SystemVision.
format Conference or Workshop Item
author Xia, Likun
Farooq , Muhammad Umer
Hussin, Fawnizu Azmadi
Malik, Aamir Saeed
author_facet Xia, Likun
Farooq , Muhammad Umer
Hussin, Fawnizu Azmadi
Malik, Aamir Saeed
author_sort Xia, Likun
title Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling
title_short Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling
title_full Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling
title_fullStr Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling
title_full_unstemmed Performance Evaluation of Nonlinear Automated Model Generation Approaches for High Level Fault Modeling
title_sort performance evaluation of nonlinear automated model generation approaches for high level fault modeling
publishDate 2012
url http://eprints.utp.edu.my/8443/1/ICIEA_2012.pdf
http://iciea.elite.sg/2012/
http://eprints.utp.edu.my/8443/
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