HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

MODELING MULTIPLE DEPENDENT COMPETING DEGRADATIONS UNDER EPISTEMIC UNCERTAINTY VIA PDMP

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download

https://hal-supelec.archives-ouvertes.fr/hal-01090194
Contributor : Yanfu Li Connect 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

Files

LM19_actes_Final.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01090194, version 1

Citation

Yan-Hui Lin, Yanfu Li, Enrico Zio. MODELING MULTIPLE DEPENDENT COMPETING DEGRADATIONS UNDER EPISTEMIC UNCERTAINTY VIA PDMP. Lambda-Mu 19, Oct 2014, Dijion, France. ⟨hal-01090194⟩

Share

Metrics

Record views

59

Files downloads

54