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This paper presents an extension of Bayesian belief networks (BBN) enabling use of both qualitative and quantitative likelihood scales in inference. The proposed method is accordingly named QQBBN (Qualitative-Quantitative Bayesian Belief Networks). The inclusion of qualitative scales is especially useful when quantitative data for estimation of probabilities are lacking and experts are reluctant to...
In this paper, we consider the application of dynamic Bayesian networks to the prognostic modelling of equipment in order to better inform maintenance decision-making. We provide a brief overview of Bayesian networks and their application to reliability modelling. An example is then provided in which an equipment is considered to be in one of six states and there are two imperfect condition monitoring...
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