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A fuzzy Bayesian network approach for risk analysis in process industries (2017)
Journal Article
Yazdi, M., & Kabir, S. (2017). A fuzzy Bayesian network approach for risk analysis in process industries. Process Safety and Environmental Protection, 111, 507-519. https://doi.org/10.1016/j.psep.2017.08.015

Fault tree analysis is a widely used method of risk assessment in process industries. However, the classical fault tree approach has its own limitations such as the inability to deal with uncertain failure data and to consider statistical dependence... Read More about A fuzzy Bayesian network approach for risk analysis in process industries.

A model-based extension to HiP-HOPS for dynamic fault propagation studies (2017)
Journal Article
Kabir, S., Papadopoulos, Y., Walker, M., Parker, D., Aizpurua, J. I., Lampe, J., & Rüde, E. (2017). A model-based extension to HiP-HOPS for dynamic fault propagation studies. Lecture notes in computer science, 10437 LNCS, 163-178. https://doi.org/10.1007/978-3-319-64119-5_11

HiP-HOPS is a model-based approach for assessing the dependability of safety-critical systems. The method combines models, logic, probabilities and nature-inspired algorithms to provide advanced capabilities for design optimisation, requirement alloc... Read More about A model-based extension to HiP-HOPS for dynamic fault propagation studies.

An overview of fault tree analysis and its application in model based dependability analysis (2017)
Journal Article
Kabir, S. (2017). An overview of fault tree analysis and its application in model based dependability analysis. Expert Systems with Applications, 77, 114-135. https://doi.org/10.1016/j.eswa.2017.01.058

Fault Tree Analysis (FTA) is a well-established and well-understood technique, widely used for dependability evaluation of a wide range of systems. Although many extensions of fault trees have been proposed, they suffer from a variety of shortcomings... Read More about An overview of fault tree analysis and its application in model based dependability analysis.