针对某型导弹姿态稳定分系统的测试点优选问题进行了分析研究。首先在相关性模型的基础上,综合考虑可靠性和测试费用的影响,利用信息论中熵的概念,建立了最大故障诊断信息量准则；然后根据信息量的大小依次选择测试点,确定出优选的故障诊断策略,并画出故障隔离树。实例应用表明：该方法是正确的、可行的,得到的诊断策略只需较低的测试费用。

The problem of selecting test points of a missile attitude stabilization subsystem is researched.At first,using the concept of entropy in the information theory,an algorithm of the maximal fault diagnosis information value,considering reliability and testing cost,is presented based on the pertinence model.Then,test points can be selected based on the information value,a more efficient fault diagnosis strategy can be constituted,and a fault isolation tree is drawn.The application example shows that the method is correct and feasible,the strategy needs fewer testing costs.