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Book Sections Year : 2010

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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Dates and versions

hal-00609116 , version 1 (18-07-2011)

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  • HAL Id : hal-00609116 , version 1

Cite

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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