Fault Tree Analysis for a Modern Communication System

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%.

2012 ◽  
Vol 209-211 ◽  
pp. 891-897
Author(s):  
Xu Jia ◽  
Li Wei Zhu

After introduced the composition and function of Highway Network Communication System (HNCS), the HNCS model was established based on the fault tree analysis method. According to the provided impact assessment model, the influence of highway electromechanical system network reliability was analyzed, and subsequently the system reliability of HNCS was evaluated, This paper put forward the strategies to improving the network system reliability of highway electromechanical system, and providing the technical support for the maintenance work of highway network system electromechanical equipments.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Rongxing Duan ◽  
Jinghui Fan

Fault tree analysis is a well-structured, precise, and powerful tool for system evaluation. However, the conventional approach has been found to be inadequate to deal with the absence of fault data, failure dependency, and uncertainty problems. This paper presents a comprehensive study on the evaluation of data communication system (DCS) using dynamic fault tree approach based on fuzzy set. It makes use of the advantages of the dynamic fault tree for modelling, fuzzy set theory for handling uncertainty, and Bayesian network (BN) for inference ability. Specifically, it adopts expert elicitation and fuzzy set theory to evaluate the failure rates of the basic events for DCS and uses a dynamic fault tree model to capture the dynamic failure mechanisms. Furthermore, some reliability parameters can be calculated by mapping a dynamic fault tree into an equivalent BN. The results show that the proposed method is more flexible and adaptive than conventional fault tree analysis for fault diagnosis and reliability estimation of DCS.


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