Efficient simulation approaches for reliability analysis of large systems

Edoardo Patelli, Geng Feng

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings
EditorsSusana Vieira, Uzay Kaymak, Joao Paulo Carvalho, Marie-Jeanne Lesot, Bernadette Bouchon-Meunier, Ronald R. Yager
Place of PublicationCham
PublisherSpringer-Verlag
Pages129-140
Number of pages12
Volume610
ISBN (Print)9783319405957
DOIs
Publication statusPublished - 11 Jun 2016
Event16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016 - Eindhoven, Netherlands
Duration: 20 Jun 201624 Jun 2016

Publication series

NameCommunications in Computer and Information Science
Volume610
ISSN (Print)1865-0929

Conference

Conference16th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2016
CountryNetherlands
CityEindhoven
Period20/06/1624/06/16

Keywords

  • Monte Carlo Simulation
  • reliability analysis
  • survival signature

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  • Cite this

    Patelli, E., & Feng, G. (2016). Efficient simulation approaches for reliability analysis of large systems. In S. Vieira, U. Kaymak, J. P. Carvalho, M-J. Lesot, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 16th International Conference, IPMU 2016, Proceedings (Vol. 610, pp. 129-140). (Communications in Computer and Information Science; Vol. 610). Springer-Verlag. https://doi.org/10.1007/978-3-319-40596-4_12