基于AIS反面选择算法的炮射导弹故障诊断方法  

Fault Diagnosis Method for Gun-launched Missile Based on Negative-selection Algorithm of AIS

作　　者：张万君 王新[1] 吴晓颖[1] 

机构地区：[1]装甲兵工程学院兵器工程系

出　　处：《装甲兵工程学院学报》2011年第6期53-55,共3页Journal of Academy of Armored Force Engineering

基　　金：军队科研计划项目

摘　　要：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 application of negative-selection theory in Artificial Immunity System（AIS） into the fault diagnosis of gun-launched missile is presented,the basic principle of fault diagnosis is realized in accordance with immunity algorithm,the math model of fault diagnosis based on negative-selection algorithm is established,and the problem of fault diagnosis in state of lacking fault knowledge and fault characteristic information is solved.The efficiency and advantage of the method are demonstrated by use of analyzing the fault in guided instrument system of gun-launched missile.

关 键 词：人工免疫系统 反面选择 故障诊断 导弹系统 

分 类 号：TJ765.4[兵器科学与技术—武器系统与运用工程]