Quantitative evaluation of Pandora Temporal Fault Trees via Petri Nets

Kabir, Sohag; Papadopoulos, Yiannis; Walker, Martin

Abstract

© 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. Using classical combinatorial fault trees, analysts are able to assess the effects of combinations of failures on system behaviour but are unable to capture sequence dependent dynamic behaviour. Pandora introduces temporal gates and temporal laws to fault trees to allow sequence-dependent dynamic analysis of events. Pandora can be easily integrated in model-based design and analysis techniques; however, the combinatorial quantification techniques used to solve classical fault trees cannot be applied to temporal fault trees. Temporal fault trees capture state and therefore require a state space solution for quantification of probability. In this paper, we identify Petri Nets as a possible framework for quantifying temporal trees. We describe how Pandora fault trees can be mapped to Petri Nets for dynamic dependability analysis and demonstrate the process on a fault tolerant fuel distribution system model.

Citation

Kabir, S., Papadopoulos, Y., & Walker, M. (2015). Quantitative evaluation of Pandora Temporal Fault Trees via Petri Nets. IFAC Proceedings Volumes/ International Federation of Automatic Control, 48(21), 458-463. https://doi.org/10.1016/j.ifacol.2015.09.569

• Journal Article Type: Article
• Conference Name: IFAC-PapersOnLine
• Acceptance Date: May 8, 2015
• Publication Date: Sep 1, 2015
• Deposit Date: Feb 29, 2016
• Publicly Available Date: Nov 23, 2017
• Journal: IFAC-PapersOnLine
• Print ISSN: 1474-6670
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 48
• Issue: 21
• Pages: 458-463
• DOI: https://doi.org/10.1016/j.ifacol.2015.09.569
• Keywords: Dependability analysis, Fault tree analysis, Stochastic petri nets, Temporal fault nets
• Public URL: https://hull-repository.worktribe.com/output/471830
• Publisher URL: http://www.sciencedirect.com/science/article/pii/S2405896315016985
• Additional Information: This is the accepted manuscript version of a paper published in IFAC-Papersonline, 2015, v.48 issue 21.
• Contract Date: Nov 23, 2017