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All Outputs (10)

Dependent and Dynamic Tree Theory (D2T2 ) for Event Tree Applications (2023)
Presentation / Conference
Tolo, S., & Andrews, J. (2023, April). Dependent and Dynamic Tree Theory (D2T2 ) for Event Tree Applications. Presented at 62nd ESReDA Seminar, University of Twente, the Netherlands

The demand for innovative and effective computational tools able to improve the accuracy of present modelling methodologies has been fuelled by the ever-increasing complexity of engineering systems. In spite of their shortcomings, such as their inabi... Read More about Dependent and Dynamic Tree Theory (D2T2 ) for Event Tree Applications.

Extension of Common Measures of Importance for Dynamic and Dependent Tree Theory (D2T2 ) (2023)
Presentation / Conference
Lunt, S., & Andrews, J. (2023, April). Extension of Common Measures of Importance for Dynamic and Dependent Tree Theory (D2T2 ). Presented at 62nd ESReDA Seminar, University of Twente, the Netherlands

Traditional Fault Tree Analysis (FTA), known as Kinetic Tree Theory (KTT), was derived by Vesely [1] to model and analyse engineering systems. The tree structure provides a clear visual representation of the causes of system failure in terms of compo... Read More about Extension of Common Measures of Importance for Dynamic and Dependent Tree Theory (D2T2 ).

Dynamic safety and degradation analysis of an aircraft internal air system (2023)
Presentation / Conference
Tolo, S., Andrews, J., Thatcher, I., & Stamp, D. (2023, April). Dynamic safety and degradation analysis of an aircraft internal air system. Presented at 62nd ESReDA Seminar, University of Twente, the Netherlands

The modelling of the dynamic behaviour of engineering systems offers an invaluable insight in the evolution of degradation and response of systems to failure and represents an essential step to lay the basis for resilience analysis. While traditional... Read More about Dynamic safety and degradation analysis of an aircraft internal air system.

The Dynamic and Dependent Tree Theory (D2T2 ) methodology Developed for Fault Tree Analysis (2023)
Presentation / Conference
Andrews, J., & Tolo, S. (2023, April). The Dynamic and Dependent Tree Theory (D2T2 ) methodology Developed for Fault Tree Analysis. Presented at 62nd ESReDA Seminar, University of Twente, the Netherlands

Fault Tree Analysis (FTA) has its origins back in the 1960’s with the mathematical framework, known as Kinetic Tree Theory (KTT) added at the end of the decade by Vesely. In KTT the analysis of the fault tree is performed in two stages. The first sta... Read More about The Dynamic and Dependent Tree Theory (D2T2 ) methodology Developed for Fault Tree Analysis.

Next Generation Prediction Methodologies and Tools for System Safety Analysis (NxGen) – A Project Overview (2023)
Presentation / Conference
Sanderson, K., & Andrews, J. (2023, April). Next Generation Prediction Methodologies and Tools for System Safety Analysis (NxGen) – A Project Overview. Presented at 62nd ESReDA Seminar, University of Twente, the Netherlands

Modern engineering systems are rapidly increasing in size and complexity, posing greater safety and risk management challenges than ever before. In addition to this, the threats to these engineering systems are constantly changing and new hazards eme... Read More about Next Generation Prediction Methodologies and Tools for System Safety Analysis (NxGen) – A Project Overview.

A methodology for railway track maintenance modelling using Plausible Petri nets (2018)
Presentation / Conference
Chiachio, M., Chiachio, J., Prescott, D., & Andrews, J. (2018, September). A methodology for railway track maintenance modelling using Plausible Petri nets. Paper presented at Probabilistic Safety Assessment and Management PSAM 14

This paper proposes a new mathematical methodology to model expert systems with the ability to sequentially learn from data. To this end, the Plausible Petri nets (PPNs) methodology, first developed in M. Chiachío et al. [Proceedings of the Future Te... Read More about A methodology for railway track maintenance modelling using Plausible Petri nets.