Résumé : Piecewise-deterministic Markov process (PDMP) modeling framework can handle the dependencies between physics-based models, between multi-state models and between these two types of models. Epistemic uncertainty can arise due to the incomplete or imprecise knowledge about the degradation processes and the governing parameters: to take into account this, we describe the parameters of the PDMP model as fuzzy numbers. In this paper, we extend the finite-volume (FV) method to quantify the (fuzzy) reliability of the system. The proposed method is tested on one subsystem of the residual heat removal system (RHRS) of a nuclear power plant, and a comparison is offered with a Monte Carlo (MC) simulation solution.
https://hal-supelec.archives-ouvertes.fr/hal-01090194 Contributor : Yanfu LiConnect in order to contact the contributor Submitted on : Wednesday, December 3, 2014 - 10:40:10 AM Last modification on : Saturday, May 8, 2021 - 3:26:57 AM Long-term archiving on: : Saturday, April 15, 2017 - 1:44:19 AM