兵工自动化
兵工自動化
병공자동화
ORDNANCE INDUSTRY AUTOMATION
2015年
1期
79-81
,共3页
无人机%控制与导航系统%故障树%航材备件
無人機%控製與導航繫統%故障樹%航材備件
무인궤%공제여도항계통%고장수%항재비건
unmanned aerial vehicle (UAV)%control and navigation system (CNS)%fault tree%aerial spare provision
针对某型无人机控制与导航系统的类型和特点，设计一种无人机控制与导航系统最优维修策略。利用故障树构建系统的故障模型，计算系统发生故障的概率，分析了各部件的重要度；建立航材备件数量的优化模型，得到了控制与导航系统航材备件的最优配置数量。该策略为控制与导航系统的维修提供了决策依据。
針對某型無人機控製與導航繫統的類型和特點，設計一種無人機控製與導航繫統最優維脩策略。利用故障樹構建繫統的故障模型，計算繫統髮生故障的概率，分析瞭各部件的重要度；建立航材備件數量的優化模型，得到瞭控製與導航繫統航材備件的最優配置數量。該策略為控製與導航繫統的維脩提供瞭決策依據。
침대모형무인궤공제여도항계통적류형화특점，설계일충무인궤공제여도항계통최우유수책략。이용고장수구건계통적고장모형，계산계통발생고장적개솔，분석료각부건적중요도；건립항재비건수량적우화모형，득도료공제여도항계통항재비건적최우배치수량。해책략위공제여도항계통적유수제공료결책의거。
One optimal maintenance strategy for certain type unmanned aerial vehicle (UAV) is designed by analyzing the characteristics of the control and navigation system (CNS) of the UAV. The fault probability of the CNS is quantified and the importance of each components of the CNS is evaluated based on the fault tree model of the CNS. The optimum number of the aerial spare provision is assessed based on the optimization model of the CNS spare provision. The optimal strategy can support the maintenance decision-making.
