Multi State Fault Tree Analysis Using Fuzzy Probability Vectors and Resolution Identity

1995 ◽  
pp. 113-125 ◽  
Author(s):  
Krishna B. Misra ◽  
K. P. Soman
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fuzzy Probability ◽  
Tree Analysis ◽  
Resolution Identity

Fuzzy probability based fault tree analysis to propagate and quantify epistemic uncertainty

2015 ◽  
Vol 85 ◽  
pp. 1189-1199 ◽  
Author(s):  
Julwan Hendry Purba ◽  
D.T. Sony Tjahyani ◽  
Andi Sofrany Ekariansyah ◽  
Hendro Tjahjono
Keyword(s):  
Epistemic Uncertainty ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fuzzy Probability ◽  
Tree Analysis

Application of Fuzzy Fault Tree Analysis in Aero-Engine

2014 ◽  
Vol 602-605 ◽  
pp. 857-861 ◽  
Author(s):  
Feng Ding ◽  
Jun Qiang Dang ◽  
Jiu Cheng Yin
Keyword(s):  
Fuzzy Numbers ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Case Analysis ◽  
Fuzzy Probability ◽  
Positive Role ◽  
Tree Analysis ◽  
Fuzzy Fault Tree Analysis ◽  
Aero Engine ◽  
Fault Source

In view of the situation that the traditional fault tree is difficult to determine the probability of the basic events without considering the inherent uncertainly and imprecision of each basic event, the concept of fuzzy set is introduced which transforms various kinds of fuzzy numbers into triangular fuzzy ones to describe the probability of bottom events. Blurred the probability of the basic events in traditional fault tree, then the established fault tree is calculated and analyzed quantitatively, the fuzzy probability of top event of aero-engine can be gotten. The probability importance degree of each basic event under different sets is calculated and sorted for positioning the fault source precisely. Finally, the bottom events with higher probability will be obtained. The case analysis results show that the method gives a direct guiding significance for fault diagnosis of aero-engine, but also has a positive role for improving the reliability of the system.

Fault-Tree Analysis by Fuzzy Probability

1983 ◽  
Vol R-32 (5) ◽  
pp. 453-457 ◽  
Author(s):  
Hideo Tanaka ◽  
L. T. Fan ◽  
F. S. Lai ◽  
K. Toguchi
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Fuzzy Probability ◽  
Tree Analysis

Fault Tree Analysis for a Modern Communication System

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Kamal Hamid ◽  
Nadim Chahine
Keyword(s):  
Communication System ◽  
Communication Systems ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Theory And Practice ◽  
Tree Analysis ◽  
Satisfactory Performance ◽  
System Components ◽  
Link Budget ◽  
Simulation Results

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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