基于空间聚类的装备典型毁伤试验条件确定方法

Determination Method of Equipment Typical Damage Test Condition Based on Spatial Clustering

为科学确定装备毁伤仿真试验的状态参数,从装备内部部件的毁伤效果入手,基于K-Means空间聚类算法,提出了装备典型毁伤试验条件确定方法,对聚类对象的确定、聚类中心的选取以及判断准则等进行了研究,并以某型装甲装备典型毁伤仿真试验为例,验证了该方法的可行性和有效性。研究表明:该方法能够获取装备毁伤分析的有限种典型试验条件,对物理试验和仿真试验的方案设计具有指导和借鉴意义。

In order to fix scientifically the status parameters of the effect of fire strike on armored equip-ment in combat simulation,the paper starts from studying the internal components damage effect of the e-quipment,and puts forward a determination method of equipment typical damage test condition based on K-Means spatial clustering algorithm.It studies clustering objects ascertaining,clustering center selec-ting,and judgment rule.The method's feasibility and validity is exampled by the test of fire strike on some typical armored equipment.The research indicates that this method can select the finite typical test condition of armored equipment damage analysis,and has significance of direction and reference for the design of physics experiment and simulation experiment.