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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| Published in: | Engineering applications of artificial intelligence Vol. 25; no. 4; pp. 698 - 704 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.06.2012
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| ISSN: | 0952-1976, 1873-6769 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Neil, Martin Marquez, David |
| Author_xml | – sequence: 1 givenname: Martin surname: Neil fullname: Neil, Martin email: martin@dcs.qmul.ac.uk organization: Department of Computer Science, Queen Mary University of London, London E1 4NS, UK – sequence: 2 givenname: David surname: Marquez fullname: Marquez, David organization: Department of Computer Science, Queen Mary University of London, London E1 4NS, UK |
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| Keywords | Dynamic discretization Systems availability Bayesian networks Systems dependability Bayesian software Renewable systems |
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| SubjectTerms | Approximation Availability Bayesian analysis Bayesian networks Bayesian software Dynamic discretization Dynamical systems Dynamics Mathematical models Networks Renewable systems Repair time Systems availability Systems dependability |
| Title | Availability modelling of repairable systems using Bayesian networks |
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