摘要
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。
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.
作者
房冠成
贾大鹏
刘毅飞
刘海涛
FANG Guancheng;JIA Dapeng;LIU Yifei;LIU Haitao(AVIC Chengdu Aircraft Design and Institute,Chengdu 610091)
出处
《航空学报》
EI
CAS
CSCD
北大核心
2020年第6期289-299,共11页
Acta Aeronautica et Astronautica Sinica
基金
航空科学基金(017ZD11009)。
关键词
飞行参数
数据挖掘
数据分析
军用飞机
健康评估
flight parameters
data mining
data analysis
warplane
healthy assessment
