Complex fault tree analysis based on BDD route-based rules

Author(s):  
Lin Zhu ◽  
Jie Chen
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):  
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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