All Outputs (4)

Fault Tree Analysis Including Component Dependencies (2023)
Journal Article
Tolo, S., & Andrews, J. (2023). Fault Tree Analysis Including Component Dependencies. IEEE Transactions on Reliability, https://doi.org/10.1109/tr.2023.3264943

Fault Tree analysis is not only the most common technique used in engineering practice for the estimation of system reliability, but is also a key tool shared between designers, analysts and regulators for safe operation and licensing purposes. In sp... Read More about Fault Tree Analysis Including Component Dependencies.

Dynamic and dependent tree theory (D2T2): A framework for the analysis of fault trees with dependent basic events (2022)
Journal Article
Andrews, J., & Tolo, S. (2023). Dynamic and dependent tree theory (D2T2): A framework for the analysis of fault trees with dependent basic events. Reliability Engineering and System Safety, 230, Article 108959. https://doi.org/10.1016/j.ress.2022.108959

Fault tree analysis remains the most commonly employed method, particularly in the safety critical industries, to predict the probability or frequency of system failures. Whilst it has its origins back in the 1960s, the assumptions employed in the ma... Read More about Dynamic and dependent tree theory (D2T2): A framework for the analysis of fault trees with dependent basic events.

An integrated modelling framework for complex systems safety analysis (2022)
Journal Article
Tolo, S., & Andrews, J. (2022). An integrated modelling framework for complex systems safety analysis. Quality and Reliability Engineering International, 38(8), 4330-4350. https://doi.org/10.1002/qre.3212

The ever-increasing complexity of engineering systems has fuelled the need for novel and efficient computational tools able to enhance the accuracy of current modelling strategies for industrial systems. Indeed, traditional Fault and Event Tree techn... Read More about An integrated modelling framework for complex systems safety analysis.

Pseudo Credal Networks for Inference With Probability Intervals (2019)
Journal Article
Estrada-Lugo, H. D., Tolo, S., de Angelis, M., & Patelli, E. (2019). Pseudo Credal Networks for Inference With Probability Intervals. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 5(4), Article RISK-18-1097. https://doi.org/10.1115/1.4044239

The computation of the inference corresponds to an NP-hard problem even for a single connected credal network. The novel concept of pseudo networks is proposed as an alternative to reduce the computational cost of probabilistic inference in credal ne... Read More about Pseudo Credal Networks for Inference With Probability Intervals.