Fault tree analysis of cargo leakage from manifold connection in fuzzy environment: A novel case of anhydrous ammonia

2021 ◽  
Vol 238 ◽  
pp. 109720
Author(s):  
Ali Cem Kuzu ◽  
Yunus Emre Senol
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Anhydrous Ammonia ◽  
Fuzzy Environment

scholarly journals Ontology-based Fault Tree Analysis Algorithms in a Fuzzy Environment for Autonomous Ships

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Bekir Sahin ◽  
Anis Yazidi ◽  
Dumitru Roman ◽  
Ahmet Soylu
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Fuzzy Environment

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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