A NOVEL AUTOMATED MODEL GENERATION ALGORITHM FOR HIGH LEVEL FAULT MODELING OF ANALOG CIRCUITS
gh level modelling techniques have been used by researchers from few decades to increase fault simulation speed of analog circuits. However, due to manual model generation, the techniques are tedious and time consuming and unable to reduce analog testing time. To overcome manual modelling limitat...
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Online Access: | http://utpedia.utp.edu.my/22693/1/2013-ELECTRIC-A%20NOVEL%20AUTOMATED%20MODEL%20GENERATION%20ALGORITHM%20FOR%20HIGH%20LEVEL%20FAULT%20MODELING%20OF%20ANALOG%20CIRCUITS-MUHAMMAD%20UMER%20FAROOQ.pdf http://utpedia.utp.edu.my/22693/ |
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my-utp-utpedia.226932022-02-22T07:27:14Z http://utpedia.utp.edu.my/22693/ A NOVEL AUTOMATED MODEL GENERATION ALGORITHM FOR HIGH LEVEL FAULT MODELING OF ANALOG CIRCUITS FAROOQ, MUHAMMAD UMER TK Electrical engineering. Electronics Nuclear engineering gh level modelling techniques have been used by researchers from few decades to increase fault simulation speed of analog circuits. However, due to manual model generation, the techniques are tedious and time consuming and unable to reduce analog testing time. To overcome manual modelling limitation, researchers adopt algorithmic support and start using automated model generation (AMG) methods to generate models for high level modelling of analog circuits. AMG models successfully perform HLFM but unfortunately fail to increase high level fault simulation (HLFS) speed compared to full SPICE-circuit simulations. The failure is mainly occurred due to the consumption of multiple models and computational overhead of model switching required capturing nonlinear effects. 2013 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/22693/1/2013-ELECTRIC-A%20NOVEL%20AUTOMATED%20MODEL%20GENERATION%20ALGORITHM%20FOR%20HIGH%20LEVEL%20FAULT%20MODELING%20OF%20ANALOG%20CIRCUITS-MUHAMMAD%20UMER%20FAROOQ.pdf FAROOQ, MUHAMMAD UMER (2013) A NOVEL AUTOMATED MODEL GENERATION ALGORITHM FOR HIGH LEVEL FAULT MODELING OF ANALOG CIRCUITS. Masters thesis, UTP. |
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TK Electrical engineering. Electronics Nuclear engineering FAROOQ, MUHAMMAD UMER A NOVEL AUTOMATED MODEL GENERATION ALGORITHM FOR HIGH LEVEL FAULT MODELING OF ANALOG CIRCUITS |
description |
gh level modelling techniques have been used by researchers from few decades
to increase fault simulation speed of analog circuits. However, due to manual model
generation, the techniques are tedious and time consuming and unable to reduce
analog testing time. To overcome manual modelling limitation, researchers adopt
algorithmic support and start using automated model generation (AMG) methods to
generate models for high level modelling of analog circuits. AMG models
successfully perform HLFM but unfortunately fail to increase high level fault
simulation (HLFS) speed compared to full SPICE-circuit simulations. The failure is
mainly occurred due to the consumption of multiple models and computational
overhead of model switching required capturing nonlinear effects. |
format |
Thesis |
author |
FAROOQ, MUHAMMAD UMER |
author_facet |
FAROOQ, MUHAMMAD UMER |
author_sort |
FAROOQ, MUHAMMAD UMER |
title |
A NOVEL AUTOMATED MODEL
GENERATION ALGORITHM FOR HIGH
LEVEL FAULT MODELING OF ANALOG
CIRCUITS |
title_short |
A NOVEL AUTOMATED MODEL
GENERATION ALGORITHM FOR HIGH
LEVEL FAULT MODELING OF ANALOG
CIRCUITS |
title_full |
A NOVEL AUTOMATED MODEL
GENERATION ALGORITHM FOR HIGH
LEVEL FAULT MODELING OF ANALOG
CIRCUITS |
title_fullStr |
A NOVEL AUTOMATED MODEL
GENERATION ALGORITHM FOR HIGH
LEVEL FAULT MODELING OF ANALOG
CIRCUITS |
title_full_unstemmed |
A NOVEL AUTOMATED MODEL
GENERATION ALGORITHM FOR HIGH
LEVEL FAULT MODELING OF ANALOG
CIRCUITS |
title_sort |
novel automated model
generation algorithm for high
level fault modeling of analog
circuits |
publishDate |
2013 |
url |
http://utpedia.utp.edu.my/22693/1/2013-ELECTRIC-A%20NOVEL%20AUTOMATED%20MODEL%20GENERATION%20ALGORITHM%20FOR%20HIGH%20LEVEL%20FAULT%20MODELING%20OF%20ANALOG%20CIRCUITS-MUHAMMAD%20UMER%20FAROOQ.pdf http://utpedia.utp.edu.my/22693/ |
_version_ |
1739832978010275840 |
score |
13.213112 |