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Prognostic Modelling with Dynamic Bayesian Networks

By K McNaught and A Zagorecki

Abstract

In this paper, we review the application of dynamic Bayesian networks to prognostic modelling. An example is provided for illustration. With this example, we show how the equipment’s reliability decays over time in the situation where repair is not possible and then how a simple change to the model allows us to represent different maintenance policies for repairable equipme

Topics: Numerical modelling, Numerical analysis, Bayesian statistical decision theory, Probability and statistics, Risk assessment, Risk analysis, Forecasting
Year: 2009
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/3924
Provided by: Cranfield CERES

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