Correlated Rare Failure Analysis via Asymptotic Probability Evaluation

Published

Conference Paper

© 2017 ACM. In this paper, a novel Asymptotic Probability Estimation (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 (LUT) is further developed to improve numerical stability and, hence, reduce estimation error. Our numerical experiments demonstrate that compared to the state-of-The-Art method, APE can reduce the estimation error by up to 45x without increasing the computational cost.

Full Text

Duke Authors

Cited Authors

  • Tao, J; Yu, H; Zhou, D; Su, Y; Zeng, X; Li, X

Published Date

  • June 18, 2017

Published In

Volume / Issue

  • Part 128280 /

International Standard Serial Number (ISSN)

  • 0738-100X

International Standard Book Number 13 (ISBN-13)

  • 9781450349277

Digital Object Identifier (DOI)

  • 10.1145/3061639.3062217

Citation Source

  • Scopus