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Monte Carlo Methods for Reliability Estimation and Failure Prognostics

Abstract : Monte Carlo Simulation (MCS) offers a powerful means for modeling the stochastic failure behaviour of engineered structures, systems and components (SSC). This paper summarises current work on advanced MCS methods for reliability estimation and failure prognostics.
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https://hal-supelec.archives-ouvertes.fr/hal-00609116
Contributor : Yanfu Li <>
Submitted on : Monday, July 18, 2011 - 12:10:09 PM
Last modification on : Wednesday, July 15, 2020 - 10:36:09 AM

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  • HAL Id : hal-00609116, version 1

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Enrico Zio. Monte Carlo Methods for Reliability Estimation and Failure Prognostics. COMPLEX DATA MODELING AND COMPUTATIONALLY INTENSIVE STATISTICAL METHODS, Springer, pp.138-151, 2010, Contributions to Statistics. ⟨hal-00609116⟩

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