雷达对抗侦察接收机故障智能诊断系统神经网络构建与仿真

Neural Network Establishing and Simulation of Fault Intelligent Diagnosis System for Radar Countermeasure Reconnaissance Receiver

针对目前电子对抗装备快速故障检测与维护保障的需要,研究了某型雷达对抗侦察接收机故障智能诊断系统神经网络的建模方法,阐述了网络神经元的选取、网络结构的确定以及网络训练步骤等,并进行了网络训练仿真和网络实例测试,验证了系统故障诊断结果的可信性。

Aiming at the requirements of fast fault diagnosis and maintenance support of current electronic countermeasure equipments,this paper studies the modeling method of fault intelligent diagnosis system for a certain radar countermeasure reconnaissance receiver,expatiates the selection of network nerve cell,the determination of network structure and the network training steps,etc.,and performs the network training simulation and network example test,validates the creditability of the system fault diagnosis results.