Efficient Simulation Approaches for Reliability Analysis of Large Systems

Patelli, Edoardo ORCID: 0000-0002-5007-7247 and Feng, Geng
(2016) Efficient Simulation Approaches for Reliability Analysis of Large Systems. .

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Survival signature has been presented recently to quantify the system reliability. However, survival signature-based analytical methods are generally intractable for the analysis of realistic systems with multi-state components and imprecisions on the transition time. The availability of numerical simulation methods for the analysis of such systems is required. In this paper, novel simulation methods for computing system reliability are presented. These allow to estimate the reliability of realistic and large-scale systems based on survival signature including parameter uncertainties and imprecisions. The simulation approaches are generally applicable and efficient since only one estimation of the survival signature is needed while Monte Carlo simulation is used to generate component transition times. Numerical examples are presented to show the applicability of the proposed methods.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Reliability analysis, Survival signature, Monte Carlo simulation
Depositing User: Symplectic Admin
Date Deposited: 13 Dec 2016 10:46
Last Modified: 19 Jan 2023 07:24
DOI: 10.1007/978-3-319-40596-4_12
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3004850