Title :
Integrated support analysis of military aircraft base on fuzzy theory
Author :
Jianguo Cui ; Cheng Wang ; Yiwen Qi ; Fan Cui ; Liying Jiang
Author_Institution :
Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China
fDate :
May 31 2014-June 2 2014
Abstract :
Currently, it has a lot of uncertainty and is difficult to use expert knowledge to integrated support analysis process of military aircraft. This paper took the power system of a military aircraft as example, and created a integrated support analysis model based on fuzzy theory. Firstly, the author used the analytical hierarchy process (AHP) to determine the weight of three different factors which included the historical fault statistics, the analysis results of failure mechanism and the occurrence frequency of fault symptoms, and the influence of three different factors was different to the power system. Secondly, the author processed fuzzily the different failure modes and the present fault symptoms which was obtained by monitoring. On this basis of fuzzily processed, this paper calculated the minimum distance of each specific failure mode which belong to the fuzzy sets of fault symptoms and the membership function of fault mode, and this distance determined the optimal decision scheme. Results showed that the obtained results were consistent with the actual situation, and it proved the effectiveness of the model of fuzzy integrated support analysis and has a good prospects for application.
Keywords :
aircraft power systems; analytic hierarchy process; fault diagnosis; fuzzy set theory; military aircraft; AHP; analytical hierarchy process; failure mechanism; fault mode membership function; fault symptom occurrence frequency; fuzzy sets; fuzzy theory; historical fault statistics; integrated support analysis process; military aircraft power system; optimal decision scheme; Aircraft; Atmospheric modeling; Current measurement; Maintenance engineering; Military aircraft; Power supplies; AHP; Fuzzy Theory; Integrated Support Analysis; Military Aircraft Power Supply System;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852950