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Integrated support analysis of military aircraft base on fuzzy theory

机译:基于模糊理论的军机综合保障分析

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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.
机译:当前,不确定性很大,难以利用专家知识对军机的支持分析过程进行综合。以一架军机的动力系统为例,建立了基于模糊理论的综合支持分析模型。首先,作者运用层次分析法确定了包括历史故障统计数据,故障机理分析结果和故障症状发生频率在内的三个不同因素的权重,三个因素的影响也不同。到电源系统。其次,作者模糊地处理了不同的故障模式和通过监视获得的当前故障症状。在模糊处理的基础上,计算出属于故障症状模糊集和故障模式隶属度函数的每种特定故障模式的最小距离,并以此为最佳决策方案。结果表明,所获得的结果与实际情况相吻合,证明了模糊综合支持分析模型的有效性,具有良好的应用前景。

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