SILVIA TOLO SILVIA.TOLO@NOTTINGHAM.AC.UK
Assistant Professor in System Risk and Reliability Modelling
Dependent and Dynamic Tree Theory (D2T2 ) for Event Tree Applications
Tolo, Silvia; Andrews, John
Authors
JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management
Abstract
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 inability to account for component interconnections or to incorporate degradation processes and intricate maintenance plans into the analysis, classic Fault and Event Trees are still the dominating methodologies of choice for reliability analysis of complex systems. The D 2 T 2 methodology was proposed to target the limitations of traditional Fault Trees (FT) through the tailored integration of more flexible modelling options, such as Markov Models (MM) and Petri Nets(PN). This allows to include in the analysis component’s dependencies and dynamic features of system behaviour, without renouncing the familiar modelling language of Fault and Event Trees (ET). This work follows the application of the D 2 T 2 methodology to a simple case study, investigating how such approach deals with different levels of modelling complexity
Citation
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
Presentation Conference Type | Other |
---|---|
Conference Name | 62nd ESReDA Seminar |
Start Date | Apr 12, 2023 |
End Date | Apr 13, 2023 |
Deposit Date | May 15, 2023 |
Publicly Available Date | May 15, 2023 |
Public URL | https://nottingham-repository.worktribe.com/output/20818027 |
Related Public URLs | https://www.esreda.org/event/62nd-esreda-seminar-april-12th-13rd-2023-university-of-twente-the-netherlands-2/ |
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Dependent and Dynamic Tree Theory
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