Reliability analysis of systems based on survival signature

Geng Feng, Edoardo Patelli, Michael Beer

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

Abstract

It is essential to conduct a reliability analysis of systems with multiple types of components, and deal with the uncertainties within the components failure time distribution. Moreover, finding the most "critical" component in the system at a certain time facilitates a risk management. In this paper, we introduce the survival signature into a real world hydro power plant system and solve the epistemic uncertainties in the component's failure time distribution. By implementing a relative importance index for each component, we can derive the reliability trend of the system depending on a component failure. The results show that the survival signature used on reliability analysis can help us deal with real world systems with more than one component type as well as to get bounds on system responses concerning epistemic uncertainties.

Original languageEnglish
Title of host publication12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015
PublisherUniversity of British Columbia
Number of pages7
ISBN (Electronic)9780888652454
Publication statusPublished - 15 Jul 2015
Event12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012 - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015

Publication series

Name12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015

Conference

Conference12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2012
CountryCanada
CityVancouver
Period12/07/1515/07/15

Keywords

  • sensitivity analysis
  • uncertainty analysis
  • variance-based sensitivity
  • reliability analysis
  • failure (mechanical)
  • safety engineering

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  • Cite this

    Feng, G., Patelli, E., & Beer, M. (2015). Reliability analysis of systems based on survival signature. In 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015 (12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2015). University of British Columbia.