基于飞行参数数据挖掘的军机健康评估技术

以新型战机为代表的现代武器装备的参数数据越来越庞大，提出了基于飞行参数数据挖掘的军机健康评估技术。首先构建了军机健康评估设计及应用的"V"型架构，将数据获取、数据分析、方法应用、挖掘建模、评估结果和决策应用等流程融入到数据层、业务层、应用层等功能层级中。然后，综合运用改进故障树分析、高斯混合模型、层次分析法等方法，构建了适用于军机健康评估的架构、方法及流程。最后，以某军机实际飞行数据进行了应用分析，证明了所提方法的有效性和可行性。

Military airplane health assessment technique based on data mining of flight parameters

Parameter data of modern weapon equipment represented by new warplane becomes more and more huge. This paper puts forward a military airplane health assessment based on the data mining of flight parameters. First, this paper sets up a "V" structure for health assessment of military airplane in the process of design and application, data acquisition, data analysis, method application, mining modeling, healthy assessment, decision application, and etc. These processes are integrated into a data layer, business layer, and applied layer. Then, the improvement FTA analysis, the Gauss mixture model, and analytic hierarchy process are used to set up the architecture, methodology, and process for military airplane health assessment. Finally, the application results of actual flight date of some military aircraft proved the feasibility and validity of the proposed method.