Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling

It is known that automated model generation (AMG) techniques for linear systems are sufficiently mature to handle linear systems during high level modeling (HLM). Other AMG techniques have been developed for various levels of nonlinear behavior and to focus on specific issues such as high level faul...

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Main Authors: Xia, L., Farooq, M.U., Bell, I.M., Hussin, F.A., Malik, A.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32705 /
Published: 2013
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891630810&doi=10.1007%2fs10836-013-5401-0&partnerID=40&md5=b6809552a6ec934a532b0dc1199dff8f
http://eprints.utp.edu.my/32705/
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spelling utp-eprints.327052022-03-30T01:04:41Z Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling Xia, L. Farooq, M.U. Bell, I.M. Hussin, F.A. Malik, A.S. It is known that automated model generation (AMG) techniques for linear systems are sufficiently mature to handle linear systems during high level modeling (HLM). Other AMG techniques have been developed for various levels of nonlinear behavior and to focus on specific issues such as high level fault modeling (HLFM). However, no single nonlinear AMG technique exists which can be confidently adapted for any nonlinear system. In this paper, a survey on AMG techniques over the last two decades is conducted. The techniques are classified into two main areas: system identification (SI) based AMG and model order reduction (MOR) based AMG. Overall, the survey reveals that more advanced research for AMG techniques is required to handle strongly nonlinear systems during HLFM. © 2013 Springer Science+Business Media New York. 2013 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891630810&doi=10.1007%2fs10836-013-5401-0&partnerID=40&md5=b6809552a6ec934a532b0dc1199dff8f Xia, L. and Farooq, M.U. and Bell, I.M. and Hussin, F.A. and Malik, A.S. (2013) Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling. Journal of Electronic Testing: Theory and Applications (JETTA), 29 (6). pp. 861-877. http://eprints.utp.edu.my/32705/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description It is known that automated model generation (AMG) techniques for linear systems are sufficiently mature to handle linear systems during high level modeling (HLM). Other AMG techniques have been developed for various levels of nonlinear behavior and to focus on specific issues such as high level fault modeling (HLFM). However, no single nonlinear AMG technique exists which can be confidently adapted for any nonlinear system. In this paper, a survey on AMG techniques over the last two decades is conducted. The techniques are classified into two main areas: system identification (SI) based AMG and model order reduction (MOR) based AMG. Overall, the survey reveals that more advanced research for AMG techniques is required to handle strongly nonlinear systems during HLFM. © 2013 Springer Science+Business Media New York.
format Article
author Xia, L.
Farooq, M.U.
Bell, I.M.
Hussin, F.A.
Malik, A.S.
spellingShingle Xia, L.
Farooq, M.U.
Bell, I.M.
Hussin, F.A.
Malik, A.S.
Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
author_sort Xia, L.
title Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
title_short Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
title_full Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
title_fullStr Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
title_full_unstemmed Survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
title_sort survey and evaluation of automated model generation techniques for high level modeling and high level fault modeling
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84891630810&doi=10.1007%2fs10836-013-5401-0&partnerID=40&md5=b6809552a6ec934a532b0dc1199dff8f
http://eprints.utp.edu.my/32705/
_version_ 1741197771299356672
score 11.62408

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