中文摘要：

应用支持向量决策方法,解决飞行器重着陆事件诊断中受力分析复杂、样本量小的问题。探索飞行器接地阶段重着陆事件的形成机制,分别建立翼根载荷与起落架载荷的受力模型,研究飞机主体载荷与重着陆事件的非线性关系。研究重着陆决策所需样本集的小样本特性,提出支撑向量驱动的智能决策规则方法,进行重着陆事件诊断模型的建模研究。最后,建立重着陆事件决策系统。实例表明：该决策方法对于实例样本的诊断精度达到95.7%,对于提高着陆阶段的安全具有实际意义。

英文摘要：

The diagnosis of hard landing event for civil aircraft is the research highlight of civil aviation safety.In this paper,support vector decision method is proposed to solve the complication of force analysis and small samples problem.Firstly,the mechanics models of airfoil load and landing gear load are built,and formula of landing force with feature parameters is archived.Secondly,a rational decision models with support vector approach for decision rules is proposed,and modeling research is performed.Finally,a decision support system for hard landing event is established,and engineering application shows the accuracy of the decision model is 95.7% within actual landing samples,this decision support system is of practical value to improve the safety capability during aircraft landing process.