提出将人工免疫系统(Artificial Immunity System,AIS)中的反面选择原理应用到炮射导弹故障诊断中,依据免疫算法实现故障诊断的基本原理,构建了基于反面选择算法的故障诊断数学模型,解决了在故障先验知识和故障特征信息缺乏等情况下的故障诊断问题,并通过对炮射导弹制导仪系统中的故障进行实例分析,验证了该方法的有效性和优越性。 The principle of reverse selection in Artificial Immunity System (AIS) is put forward in the fault diagnosis of gun-projectile missile. The basic principle of fault diagnosis based on immune algorithm is proposed, and the fault diagnosis mathematical model based on inverse selection algorithm The problem of fault diagnosis in the case of fault prior knowledge and lack of fault feature information is verified. The effectiveness and superiority of this method are verified by an example analysis of the fault in the missile-guided missile guidance system.