Model-based Quantitative Fault Tree Analysis based on FIDES Reliability Prediction

Abstract

Fault tree analysis is a commonly used technique to assess the reliability of critical systems. The method requires modeling the propagation path of basic events that may cause a feared event, and define their probabilities. In this paper, we present a model-based approach to construct fault tree from SysML models and to perform quantitative analysis of the tree using FIDES reliability prediction standard. We exemplify the approach on a power interface unit system.