Monte Carlo Simulation for the Level Crossing Imprecise Reliability Evaluation

EasyChair Preprint 2938

Abstract

This paper presents a methodology to evaluate the imprecise reliability of the Moroccan Level Crossing systems using a second-order Monte Carlo Simulation approach by integrating human factor and failure data uncertainty (aleatory and epistemic uncertainty). It is based on a methodology to propagate separately aleatory and epistemic uncertainties to obtain the imprecise reliability distribution of the level crossing system over the time. We propose also the influence of the number of simulation to the results of the reliability and the simulation stopping criterion.

Keyphrases: Level Crossing, Monte Carlo simulation, Reliability, human factor, uncertainty

@booklet{EasyChair:2938,
  author    = {Jaouad Boudnaya and Abdelhak Mkhida and Mohamed Sallak},
  title     = {Monte Carlo Simulation for the Level Crossing Imprecise Reliability Evaluation},
  howpublished = {EasyChair Preprint 2938},
  year      = {EasyChair, 2020}}