relation: https://khub.utp.edu.my/scholars/1221/
title: Automated model generation algorithm for high-level fault modeling
creator: Xia, L.
creator: Bell, I.M.
creator: Wilkinson, A.J.
description: High-level modeling for operational amplifiers (opamps) has been previously carried out successfully using models generated by published automated model generation approaches. Furthermore, high-level fault modeling (HLFM) has been shown to work reasonably well using manually designed fault models. However, no evidence shows that published automated model generation approaches based on opamps have been used in HLFM. This paper describes HLFM for analog circuits using an adaptive self-tuning algorithm called multiple model generation system using delta. The generation algorithms and simulation models were written in MATLAB and the hardware description language VHDL-AMS, respectively. The properties of these self-tuning algorithms were investigated by modeling complementary metal-oxide-semiconductor opamps, and comparing simulations using the HLFM against those of the original simulation program with integrated circuit emphasis circuit utilizing transient analysis. Results show that the models can handle both linear and nonlinear fault situations with better accuracy than previously published HLFMs. © 2006 IEEE.
date: 2010
type: Article
type: PeerReviewed
identifier:   Xia, L. and Bell, I.M. and Wilkinson, A.J.  (2010) Automated model generation algorithm for high-level fault modeling.  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 29 (7).  pp. 1140-1145.  ISSN 02780070     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953822021&doi=10.1109%2fTCAD.2010.2045556&partnerID=40&md5=fcfd3c348673f1e53b2b7cf94ae07cd8
relation: 10.1109/TCAD.2010.2045556
identifier: 10.1109/TCAD.2010.2045556