Classification of fault trees and algorithms of fault tree analysis

1990 ◽  
Vol 30 (5) ◽  
pp. 891-895 ◽  
Author(s):  
Yan Chunning ◽  
Shi Dinghua
Author(s):  
Fausto Pedro García Márquez ◽  
Alberto Pliego Mangurán ◽  
Noor Zaman

A fault tree analysis (FTA) is presented as a qualitative method for studying the state of the WT as a system considering to its different sub-systems. The quantitative analysis of the FTA is done by Binary Diagram Decision (BDD). The size of the BDD generated by the transformation from FTA to BDD will depend of the ordering of the FTA events. This work employed the top-down-left-right, the level, and the “and” methods for listing the events. Finally, a classification of the events is done based on their importance measures. The importance measures has been calculated by the Birnbaum (1969), Critically and Structural heuristic methods. A comparative analysis is done, and the main results are presented.


Author(s):  
Wu Guohua ◽  
Yuan Diping ◽  
Xiao Yiqing ◽  
Wang Jiaxin

Abstract Fault tree analysis (FTA) is one of the most important methods of probabilistic risk assessment (PRA). The fault state of the system is taken. While traditional FTA is based on static failure model. FTA is not applicable for systems that include redundant, sequence-related systems. At the same time, nuclear power plants (NPPs) contains a large number of redundant equipment, and FTA is difficult to solve these dynamic problems. Therefore, it is necessary to use dynamic fault tree analysis (DFTA) for PRA. In DFTA research, the modular analysis method was first proposed. The modular method divides the dynamic fault tree into a dynamic fault tree and a static fault tree. Among them, the dynamic fault tree is analyzed using a Markov chain, and the static fault tree is studied using a binary decision diagrams method. However, the shortcomings are that when the system is complicated, the information explosion in the Markov chain is appeared. To solve this problem, a dynamic fault tree is transformed into a Bayesian network. At the same time, to verify the feasibility of the method, Monte Carlo random sampling was used to evaluate the method. Other methods are relatively infrequently studied. In this paper, firstly, status of dynamic fault trees has been investigated. Secondly, each method is analyzed and the problems of dynamic fault tree are described. Finally, a survey and analysis on the dynamic fault tree is finished, and the main problems of the dynamic fault tree are: information explosion; the lack of commercial software to apply to engineering. Through this review, we hope to play a certain guiding role in the subsequent research on dynamic fault trees.


2014 ◽  
Vol 889-890 ◽  
pp. 600-605
Author(s):  
Zhang Yin Dai

With analyzing the shortcomings of "Success Tree" method, the article proposed two new algorithms which base on the basic principles of Boolean algebra and Fussell determinant method respectively to replace the "success tree" method to solve the minimum path sets of fault tree. Combined with the simple and the complex examples' results, the correctness and effectiveness of new algorithms were verified. Especially for the large and complex fault trees, the solving process of these new algorithms can be simplified sharply. Furthermore, the new algorithms could provide the algorithm support for the realization of quantifying the qualitative analysis, modeling the quantitative analysis, and computerizing the model analysis.


Author(s):  
Adriana Libošvárová ◽  
Peter Schreiber

Abstract This paper deals with possibilities of using genetic algorithms in design of costs optimization, which are needed to reach given reliability of technical system, respectively system reliability optimization by given amount of investment costs. In following chapters, there is a described design of new method, which will be later implemented in application and verified on an example. Causal relationships between system failures and elements faults can be detected by analytic approach, when at first the undesired system fault is identified and its reasons are progressively detected. The reliability of system and its elements is analyzed using method FTA (fault tree analysis) and system is represented by fault trees. In order to optimize costs, respectively reliability, the genetic algorithms are used.


Author(s):  
Kamal Hamid ◽  
Nadim Chahine

Wireless communications became one of the most widespread means for transferring information. Speed and reliability in transferring the piece of information are considered one of the most important requirements in communication systems in general. Moreover, Quality and reliability in any system are considered the most important criterion of the efficiency of this system in doing the task it is designed to do and its ability for satisfactory performance for a certain period of time, Therefore, we need fault tree analysis in these systems in order to determine how to detect an error or defect when happening in communication system and what are the possibilities that make this error happens. This research deals with studying TETRA system components, studying the physical layer in theory and practice, as well as studying fault tree analysis in this system, and later benefit from this study in proposing improvements to the structure of the system, which led to improve gain in Link Budget. A simulation and test have been done using MATLAB, where simulation results have shown that the built fault tree is able to detect the system’s work by 82.4%.


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