Yes / 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. / The full text will be available at the end of the publisher's embargo: 18th Nov 2023
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/18710 |
| Date | 10 December 2021 |
| Creators | Kabir, Sohag, Campean, Felician |
| Publisher | Springer |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Book chapter, Accepted manuscript |
Page generated in 0.0024 seconds