新型雷达装备故障诊断规则的AFRS提取方法  

Extracting Diagnosis Rules of New Model Radar Equipment with AFRS Method

作　　者：代建鹏[1] 魏震生[1] 闫军 

机构地区：[1]军械工程学院光学与电子工程系 [2]65185部队

出　　处：《计算机测量与控制》2010年第3期619-622,共4页Computer Measurement &Control

摘　　要：针对经典粗糙集方法在雷达装备故障诊断规则提取中,由于离散化带来的误差,提出将原始数据模糊化,然后使用蚁群算法进行属性约简,从而达到避免离散化和提高诊断规则准确度的目的;通过实验证明该方法能够克服经典粗糙集的不足,在雷达装备故障诊断中取得了良好的效果,为新型雷达装备的故障诊断开劈了一条新的途径。Classical rough set method draws rules to bring errors in radar equipment fault diagnosis, caused by discretization. The original data are vague to be put forward, and then use ant colony algorithm to reduction, so avoid the discretization. It raises diagnosis regular accuracy. Practice proves this method can overcome classical rough set shortcoming. It has gotten good effect in radar equipment fault diagnosis, and pioneer a new channel in the fault diagnosis of new model radar equipment.

关 键 词：模糊-粗糙集 蚁群算法 新型雷达装备 故障诊断 规则提取 

分 类 号：TN959[电子电信—信号与信息处理]