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- W3153162846 abstract "In this article, a novel asymptotic probability evaluation (APE) method is proposed to estimate the probability of correlated rare failure events for complex integrated systems containing a large number of replicated cells. The key idea is to approximate the failure rate of the entire system by solving a set of nonlinear equations derived from a general analytical model. An error refinement method based on look-up table is further developed to improve numerical stability and, hence, reduce estimation error. Furthermore, a statistical algorithm based on resampling is developed to accurately estimate the confidence interval of APE. Our numerical experiments demonstrate that compared to the state-of-the-art method, APE can reduce the estimation error by up to <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>$30times $ </tex-math></inline-formula> without increasing the computational cost." @default.
- W3153162846 created "2021-04-26" @default.
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- W3153162846 date "2022-04-01" @default.
- W3153162846 modified "2023-10-18" @default.
- W3153162846 title "Correlated Rare Failure Analysis via Asymptotic Probability Evaluation" @default.
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- W3153162846 doi "https://doi.org/10.1109/tcad.2021.3073075" @default.
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