Dynamic Fault Tree Analysis Using Bayesian Networks and Sequence Probabilities

2013 ◽  
Vol E96.A (5) ◽  
pp. 953-962 ◽  
Author(s):  
Tetsushi YUGE ◽  
Shigeru YANAGI
Keyword(s):  
Bayesian Networks ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Dynamic Fault Tree

Application of Bayesian Network in Safety Evaluation of Metro Construction

2013 ◽  
Vol 838-841 ◽  
pp. 1463-1468
Author(s):  
Xiang Ke Liu ◽  
Zhi Shen Wang ◽  
Hai Liang Wang ◽  
Jun Tao Wang
Keyword(s):  
Bayesian Networks ◽  
Bayesian Network ◽  
Posterior Probability ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Safety Evaluation ◽  
Tree Analysis ◽  
Tunnel Blasting ◽  
Better Than

The paper introduced the Bayesian networks briefly and discussed the algorithm of transforming fault tree into Bayesian networks at first, then regarded the structures impaired caused by tunnel blasting construction as a example, introduced the built and calculated method of the Bayesian networks by matlab. Then assumed the probabilities of essential events, calculated the probability of top event and the posterior probability of each essential events by the Bayesian networks. After that the paper contrast the characteristics of fault tree analysis and the Bayesian networks, Identified that the Bayesian networks is better than fault tree analysis in safety evaluation in some case, and provided a valid way to assess risk in metro construction.

Dynamic Fault Tree Analysis

2020 ◽  
pp. 73-112
Author(s):  
Koorosh Aslansefat ◽  
Sohag Kabir ◽  
Youcef Gheraibia ◽  
Yiannis Papadopoulos
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Dynamic Fault Tree

Analysis on Dynamic Fault Tree Based on Fuzzy Set

2011 ◽  
Vol 110-116 ◽  
pp. 2416-2420 ◽  
Author(s):  
Li Ping Yang
Keyword(s):  
Fuzzy Set ◽  
Fault Tree ◽  
Dynamic Logic ◽  
Fault Tree Analysis ◽  
Logic Gates ◽  
Minimum Cut ◽  
Tree Analysis ◽  
Dynamic Fault Tree ◽  
Large Complex System ◽  
Cut Set

In case of fault tree analysis of large complex system, the probability of bottom event in dynamic fault tree is uncertain in some cases. To address the problem, the paper presented a dynamic fault tree analysis method based on fuzzy set computation. The method separates logic attributes and timing attributes of dynamic logic gates. It can convert dynamic fault tree into static fault tree not considering timing constraints and obtain minimum cut set of static fuzzy fault tree with set operations, then the concept of minimum cut set is extended to dynamical minimum cut sequence. Thus, the dynamic fault tree was analyzed in both qualitative and quantitative aspects, which solve the problem that it is difficult to assign value of event probability in previously process.

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