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A Model-Based Reliability Analysis Method Using Bayesian Network
Publication Date
2022
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Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2021-09-10
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Abstract
Bayesian Network (BN)-based methods are increasingly used
in system reliability analysis. While BNs enable to perform multiple analyses
based on a single model, the construction of robust BN models relies
either on the conversion from other intermediate system model structures
or direct analyst-led development based on experts input, both
requiring significant human effort. This article proposes an architecture
model-based approach for the direct generation of a BN model. Given
the architectural model of a system, a systematic bottom-up approach
is suggested, underpinned by failure behaviour models of components
composed based on interaction models to create a system-level failure
behaviour model. Interoperability and reusability of models are supported
by a library of component failure models. The approach was
illustrated with application to a case study of a steam boiler system.
Version
Accepted manuscript
Citation
Kabir S and Campean IF (2022) A Model-Based Reliability Analysis Method Using Bayesian Network. In: Jansen T, Jensen R, Mac Parthaláin N, et al (Eds) Advances in Computational Intelligence Systems. UKCI 2021. Advances in Intelligent Systems and Computing. Vol 1409. Springer, Cham.
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Type
Book chapter