Uncertainty Analysis in Reliability/Safety Assessment

  • Ajit Kumar Verma
  • Srividya Ajit
  • Durga Rao Karanki
Chapter
First Online:
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

This chapter presents the basics of uncertainty analysis in reliability or risk assessment. Although probabilistic representation of uncertainty is very popular, alternate methods of representing uncertainties are also presented, which are useful when limited information is available. Different methods of uncertainty propagation are discussed, which include analytical methods, Monte Carlo simulation, interval and fuzzy arithmetic based approaches. Two methods to build input parameter distributions are also explained in detail viz., Bayesian and expert elicitation techniques.

Keywords

Membership Function Probability Distribution Function Fuzzy Number Uncertainty Propagation Joint Moment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Ajit Kumar Verma
    • 1
  • Srividya Ajit
    • 1
  • Durga Rao Karanki
    • 2
  1. 1.ATØMStord/Haugesund University CollegeHaugesundNorway
  2. 2.Paul Scherrer InstituteVilligen PSISwitzerland

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