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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 determine the state parameters of the equipment damage simulation experiment scientifically, starting with the damage effect of the internal components of the equipment, a method of determining the typical damage test equipment is proposed based on the K-Means space clustering algorithm. The clustering objects’ Selection and judgment criteria were studied, and the typical damage simulation test of a certain armored equipment was taken as an example to verify the feasibility and effectiveness of the method. The research shows that this method can obtain a limited number of typical test conditions for equipment damage analysis and is of guidance and reference for the design of physical test and simulation test.