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Dynamic and Dependent Tree Theory (D 2 T 2 ): A Fault Tree Analysis Framework

Andrews, John; Tolo, Silvia

Dynamic and Dependent Tree Theory (D 2 T 2 ): A Fault Tree Analysis Framework Thumbnail


Authors

JOHN ANDREWS john.andrews@nottingham.ac.uk
Professor of Infrastructure Asset Management

SILVIA TOLO SILVIA.TOLO@NOTTINGHAM.AC.UK
Research Fellowship



Contributors

Maria Chiara Leva
Editor

Edoardo Patelli
Editor

Luca Podofillini
Editor

Simon Wilson
Editor

Abstract

A modelling framework, known as Dynamic and Dependent Tree Theory, is provided which overcomes restrictions in the Kinetic Tree Theory developed in the 1970s for the analysis of fault trees. Kinetic Tree Theory assumes basic events to be independent and its implementation generally requires that the component failure models feature constant failure and repair rates and the options for representing maintenance processes are very limited. This paper describes the modelling framework which integrates Binary Decision Diagram methods, Petri nets and Markov approaches to remove the need for the restrictive assumptions which therefore enables the fault tree model to better represent actual system characteristics.

Citation

Andrews, J., & Tolo, S. (2022). Dynamic and Dependent Tree Theory (D 2 T 2 ): A Fault Tree Analysis Framework. In M. Chiara Leva, E. Patelli, L. Podofillini, & S. Wilson (Eds.), Book of Extended Abstracts for the 32nd European Safety and Reliability Conference (139-140)

Conference Name 32nd European Safety and Reliability Conference (ESREL 2022)
Conference Location Dublin, Ireland
Start Date Aug 28, 2022
End Date Sep 1, 2022
Acceptance Date Jun 30, 2022
Online Publication Date Sep 2, 2022
Publication Date Sep 2, 2022
Deposit Date Sep 8, 2022
Publicly Available Date Sep 8, 2022
Publisher Research Publishing
Pages 139-140
Book Title Book of Extended Abstracts for the 32nd European Safety and Reliability Conference
ISBN 9789811851834
Keywords Fault Tree Analysis; Binary Decision Diagrams; Petri Nets; Markov; Dependencies
Public URL https://nottingham-repository.worktribe.com/output/10917091
Related Public URLs https://rpsonline.com.sg/rps2prod/esrel22-epro/ESREL22-Book-Extended-Abstracts.pdf

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