Bayesian Networks for Frequency Analysis in Dependability
- 64 Downloads
The high suppleness of Bayesian networks has led to their wide application in a variety of dependability modeling and analysis problems. The main objective of this paper is to extend the use of such powerful tool to estimate the occurrence frequency of failures and consequences in a straightforward way. Such extension is based on the employment of a transformation operator to substitute the original terms with matrices that hold the full dependability description of the corresponding element. Two simple case studies in reliability and safety contexts are treated using the suggested method whose results are validated through their comparison to the corresponding results of other classical dependability techniques.
KeywordsBayesian networks Failure frequency Reliability modeling Safety analysis Dependability
- 4.G. Bearfield, W. Marsh, Generalising event trees using Bayesian networks with a case study of train derailment. Comput. Saf. Reliab. Secur. 3688, 52–66 (2005)Google Scholar
- 9.V. Villa, V. Cozzani, Application of Bayesian networks to quantitative assessment of safety barriers’ performance in the prevention of major accidents. Chem. Eng. Trans. 53, 151–156 (2016)Google Scholar
- 14.D.J. Smith, K.G.L. Simpson, Functional Safety: A Straightforward Guide to Applying IEC 61508 and Related Standards, 2nd edn. (Elsevier, Amsterdam, 2004)Google Scholar
- 15.IEC 61508, Functional Safety of Electrical/Electronic/Programmable Electronic Safety-Related Systems (International Electrotechnical Commission, Geneva, 2010)Google Scholar