Fault tree analysis method based on probabilistic model checking and discrete time Markov Chain

2019 ◽  
Vol 36 (3) ◽  
pp. 146-153
Author(s):  
Ying-Kui Gu ◽  
Jun Zhang ◽  
Yan-Jun Shen ◽  
Chao-Jun Fan
2011 ◽  
Vol 28 (2) ◽  
pp. 25-28
Author(s):  
张莉 ZHAGN Li ◽  
王峰 WANG Feng ◽  
温克利 WEN Ke-li

2020 ◽  
Vol 39 (3) ◽  
pp. 2753-2761
Author(s):  
Hui Zhou ◽  
Haiping Ren

In reliability field, the probabilities of basic events are often treated as exact values in conventional fault tree analysis. However, for many practical systems, because the concept of events may be ambiguous, the factors affecting the occurrence of events are complex and changeable, so it is difficult to obtain accurate values of the occurrence probability of events. Fuzzy sets can well deal with these situations. Thus this paper will develop a novel fault tree analysis method in the assumption of the values of probability of basic events expressed with triangular intuitionistic fuzzy numbers. First, a new ranking function of triangular intuitionistic numbers is established, which can reflect the behavior factors of the decision maker. Then a novel fault tree analysis method is put forward on the basis of operational laws and the proposed ranking function of triangular intuitionistic numbers. Finally, an example of weapon system “automatic gun” is employed to show that the proposed fault tree analysis method is feasible and effective.


2013 ◽  
Vol 869-870 ◽  
pp. 343-347
Author(s):  
Hui Dan Lin ◽  
Geng Jun Gao

In recent years, with the rapid development of petroleum, chemical and energy industry around the Yangtze River, the variety and quantity transportation of dangerous chemicals has also dramatically increased through Yangtze River. This paper applies fault tree analysis method of specific LPG to obtain problems existing in the Yangtze river water transportation safety management and according to these series of problem, it puts forward some relevant management measures, hoping to minimum the possibility and damage of potential risk accident so as to the risk control measures more scientific, strict and meticulous.


2018 ◽  
Vol 14 (1) ◽  
pp. 370-379 ◽  
Author(s):  
Matthias Volk ◽  
Sebastian Junges ◽  
Joost-Pieter Katoen

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