DocumentCode :
2795503
Title :
Combining dynamic fault trees and event trees for probabilistic risk assessment
Author :
Xu, Hong ; Dugan, Joanne Bechta
Author_Institution :
Virginia Univ., Charlottesville, VA, USA
fYear :
2004
fDate :
26-29 Jan. 2004
Firstpage :
214
Lastpage :
219
Abstract :
As system analysis methodologies, both event tree analysis (ETA) and fault tree analysis (FTA) are used in probabilistic risk assessment (PRA), especially in identifying system interrelationships due to shared events. Although there are differences between them, ETA and FTA, are so closely linked that fault trees (FT) are often used to quantify system events that are part of event tree (ET) sequences (J.D. Andrew et al., 2000). The logical processes employed to evaluate ET sequences and quantify the consequences are the same as those used in FTA. Although much work has been done to combine FT and ET, traditional methods only concentrate on combining static fault trees (SFT) and ET. Our main concern is considering how to combine dynamic fault trees (DFT) and ET. We proposed a reasonable approach in this paper, which is illustrated through a hypothetical example. Because of the complexity of dynamic systems, including the huge size and complicated dependencies, there may exist contradictions among different dynamic subsystems. The key benefit of our approach is that we avoid the generation of such contradictions in our model. Another benefit is that efficiency may be improved through modularization.
Keywords :
Markov processes; fault trees; probability; risk management; Markov chain; dynamic fault trees analysis; dynamic subsystems; dynamic systems complexity; event tree analysis; event trees; probabilistic risk assessment; system analysis methodologies; Event detection; Fault trees; Hydrogen; Logic; Risk analysis; Risk management; Time of arrival estimation; Tree graphs; US Department of Transportation; Valves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability and Maintainability, 2004 Annual Symposium - RAMS
Print_ISBN :
0-7803-8215-3
Type :
conf
DOI :
10.1109/RAMS.2004.1285450
Filename :
1285450
Link To Document :
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