基于FDG和GA的故障诊断技术在电子对抗装备中的应用  

Application of the Fault Diagnosis Technique Based on FDG and GA in Electronic Countermeasure Equipment

作　　者：孙登会[1] 李俊山[1] 冯帆 韩洪伟[3] 

机构地区：[1]第二炮兵工程学院 [2]第二炮兵驻成都地区专用保障装备军事代表室 [3]中国人民解放军96656部队

出　　处：《航空计算技术》2009年第5期45-47,51,共4页Aeronautical Computing Technique

摘　　要：探讨了模糊有向图(Fuzzy Directed Graph,FDG)和遗传算法(Genetic Algorithm,GA)相结合的故障诊断技术及其在电子对抗装备故障诊断中的具体应用。根据电子对抗装备组件的实际状态,应用模糊理论得出各组件发生故障的可能性,建立电子对抗装备的模糊有向图,利用遗传算法搜索出模糊有向图中可能的故障传播路径。实践表明,该技术应用在电子对抗装备的故障诊断中是行之有效的,取得了较好的诊断结果。Discussed the fault diagnose technique with the combined method of fuzzy directed graph and genetic algorithm and the material application of in electronic countermeasure equipment. According to the state of the electronic countermeasure equipment module, calculated the possibility of fault happening in every module by fuzzy theory, built the FDG of electronic countermeasure equipment, searched the possible spreading path of fault with GA. The result showed that this technique is efficient in fault diagnosis of electronic countermeasure equipment, achieved corking diagnosis resuit.

关 键 词：模糊有向图 遗传算法 电子对抗装备 故障诊断 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]