Prognostic Modelling with Dynamic Bayesian Networks

McNaught, K.; Zagorecki, A.

dc.contributor.author	McNaught, K.	-
dc.contributor.author	Zagorecki, A.	-
dc.date.accessioned	2012-07-20T23:01:40Z
dc.date.available	2012-07-20T23:01:40Z
dc.date.issued	2009-11-04T00:00:00Z	-
dc.identifier.uri	http://dspace.lib.cranfield.ac.uk/handle/1826/3924
dc.description.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 equipmen	en_UK
dc.subject	Numerical modelling	en_UK
dc.subject	Numerical analysis	en_UK
dc.subject	Bayesian statistical decision theory	en_UK
dc.subject	Probability and statistics	en_UK
dc.subject	Risk assessment	en_UK
dc.subject	Risk analysis	en_UK
dc.subject	Forecasting	en_UK
dc.title	Prognostic Modelling with Dynamic Bayesian Networks	en_UK
dc.type	Conference paper	-