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The FMECA method of application in the the UAV fuel system in

Author: WangJunXiang
Tutor: HuangZhenNan
School: University of Electronic Science and Technology
Course: Mechanical Design and Theory
Keywords: fuel system FMECA FMECA analysis system fuzzy ordered weighted harmonic averaging (FOWHA) fuzzy comprehensive evaluation
CLC: V279
Type: Master's thesis
Year: 2011
Downloads: 87
Quote: 1
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Abstract


Fuel system is one of the key systems in the UAV (Unmanned Aerial Vehicle). It not only undertakes the task of transporting“blood”to the UAV, but also has to maintain the UAV’s center of gravity and cools other equipment. It will endanger the safety of the UAV once the failure of fuel system appears. So it is necessary to ensure high reliability of its work. Failure Mode, Effects and Criticality Analysis (abbreviated as FMECA) is an important system reliability analysis. It can be applied in different life stages of system such as design and using stages, in order to find the defects and weak links of system reliability and provide feasible basis for the quality and reliability of system.Based on the reliability of the UAV fuel system, the main research following these aspects in this paper:(1) The FMECA analysis of the UAV fuel systemUnderstanding the functions and structure of the UAV fuel system, establishing its function and structure model and then analyzing the system by FMECA analysis. According to listing and analyzing all of the potential failure modes of the system, the improving measures are put forward and the high harm degree failure modes should be eliminated. Also we can reduce harm degree from design, manufacture, use and maintenance as much as possible.(2) Establishing FMECA analysis systemBased on GJB1391 standard specification requirements, FMECA analysis system is developed combining with the norms and procedures of the risk control in the process of the UAV’s development, design, manufacture process.(3) The fuzzy-FMECA analysisThe conventional FMECA method has some limitations and weaknesses in dealing with uncertainty, inaccurate fuzzy information. A method that applied fuzzy logic into the FMECA analysis is proposed in response to this limitation. A method with operator and fuzzy comprehensive evaluation is introduced to optimize the results of FMECA sort, find out the most key units and failure mode. Because of this, the analysis result is made more reliable.

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CLC: > Aviation, aerospace > Aviation > Various types of aircraft > Unmanned aircraft
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