Availability modelling of repairable systems using Bayesian networks

We present a hybrid Bayesian network (HBN) framework to model the availability of renewable systems. We use an approximate inference algorithm for HBNs that involves dynamically discretizing the domain of all continuous variables and use this to obtain accurate approximations for the renewal or repa...

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Vydáno v:Engineering applications of artificial intelligence Ročník 25; číslo 4; s. 698 - 704
Hlavní autoři: Neil, Martin, Marquez, David
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.06.2012
Témata:
Approximation
Availability
Bayesian analysis
Bayesian networks
Bayesian software
Dynamic discretization
Dynamical systems
Dynamics
Mathematical models
Networks
Renewable systems
Repair time
Systems availability
Systems dependability
Dynamic discretization
Systems availability
Bayesian networks
Systems dependability
Bayesian software
Renewable systems
ISSN:0952-1976, 1873-6769
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Shrnutí:We present a hybrid Bayesian network (HBN) framework to model the availability of renewable systems. We use an approximate inference algorithm for HBNs that involves dynamically discretizing the domain of all continuous variables and use this to obtain accurate approximations for the renewal or repair time distributions for a system. We show how we can use HBNs to model corrective repair time, logistics delay times and scheduled maintenance time distributions and combine these with time-to-failure distributions to derive system availability. Example models are presented and are accompanied by detailed descriptions of how repair (renewal) distributions might be modelled using HBNs.
Bibliografie:ObjectType-Article-2
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ISSN:0952-1976
1873-6769
DOI:10.1016/j.engappai.2010.06.003