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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Bibliographic Details
Main Author: FAROOQ, MUHAMMAD UMER
Format: Thesis
Language:English
Published: 2013
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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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Institution: Universiti Teknologi Petronas
Language: English
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Summary: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.