View/ Open
Main article (1.815Mb)
Download
Publication date
2022Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
2021-09-10
Metadata
Show full item recordAbstract
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 manuscriptCitation
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.Link to Version of Record
https://doi.org/10.1007/978-3-030-87094-2_43Type
Book chapterae974a485f413a2113503eed53cd6c53
https://doi.org/10.1007/978-3-030-87094-2_43