ویراساینس.
سند علمی

Bayesian Networks and Evidence Theory to Model Complex Systems Reliability

Christophe Simon, Philippe Weber, Eric Levrat

چکیده

This paper deals with the use of Bayesian Networks to compute system reliability of complex systems under epistemic uncertainty. In the context of incompleteness of reliability data and inconsistencies between the reliability model and the system modeled, the evidence theory is more suitable to manage this epistemic uncertainty. We propose to adapt the Bayesian Network model of reliability in order to integrate the evidence theory and then to produce an Evidential Network. Three examples are proposed to observe the propagation mechanism of the uncertainty through the network and its influence on the system reliability.

اسناد مشابه

  • Bayesian Networks and Evidence Theory to Model Complex Systems Reliability

    مقاله‌ی دسترسی آزاد۲۰۰۷Journal of ComputersChristopheSimon, PhilippeWeber, EricLevrat

  • Hybrid Bayesian Networks for Reasoning about Complex Systems

    سند علمی۲۰۰۲Uri N. Lerner, Daphne Koller, Ronald Parr

    Many real-world systems are naturally modeled as hybrid stochastic processes, i.e., stochastic processes that contain both discrete and continuous variables. Examples include speech recognition, target tracking, and monitoring of physical systems. The task is usually to perform p

  • Object-Oriented Dynamic Bayesian Network-Templates for Modelling Mechatronic Systems

    سند علمی۲۰۰۲Harald Renninger, Hermann von Hasseln

    The object-oriented paradigma is a new but proven technology for modelling mechatronics, i.e. multidisciplinary modelling. For many reasons the object-oriented approach is very much desirable also for qualitative models in system design, diagnosis or verification. Bayesian networ

  • Network analysis for modeling complex systems in SLA research

    مقاله‌ی دسترسی آزاد۲۰۲۲Studies in Second Language Acquisition['Lani Freeborn', 'Sible Andringa', 'Gabriela Lunansky', 'Judith Rispens', '']

    Abstract Network analysis is a method used to explore the structural relationships between people or organizations, and more recently psychological constructs. novel technique that can be model constructs influence language learning as complex systems, with longitudinal data, cro

  • Complex system reliability modelling with Dynamic Object Oriented Bayesian Networks (DOOBN)

    سند علمی۲۰۰۶Rel. Eng. & Sys. SafetyPhilippe Weber, Lionel Jouffe

    Nowadays, the complex manufacturing processes have to be dynamically modelled and controlled to optimise the diagnosis and the maintenance policies. This article presents a methodology that will help developing Dynamic Object Oriented Bayesian Networks (DOOBNs) to formalise such

  • Common Cause Failure Model of System Reliability Based on Bayesian Networks

    سند علمی۲۰۱۰YIN XIAOWEI

    Abstract: Common cause failure is an important phenomenon for a system with failure dependent parts. In this paper, several common cause failure models are analyzed and compared. A new common cause failure model for system reliability estimation is presented based on Bayesian Net