BP神经网络在雷达故障诊断中的应用  

Application of BP Neural Network on Radar Fault Diagnosis

作　　者：赵建辉[1] 赵建平[2] 孙永江[1] 徐弋[2] 吴学军[2] 

机构地区：[1]中国卫星海上测控部远望二号船,江苏江阴214431 [2]中国卫星海上测控部技术部,江苏江阴214431

出　　处：《兵工自动化》2013年第2期37-39,44,共4页Ordnance Industry Automation

摘　　要：为适应当前现代雷达系统的故障诊断日益复杂的现状,采用人工神经网络进行雷达故障诊断。建立基于BP神经网络的故障诊断模型,给出训练算法和故障诊断步骤,以某雷达发射机为对象,将该模型应用于系统的故障诊断,并采用Matlab进行仿真验证。仿真结果表明,人工神经网络能满足雷达故障自动检测与诊断系统的高可靠性和可维护性要求。To adapt to the more and more complex situation of modern radar system fault diagnosis, use artificial neural network for fault diagnosis of radar. Establish fault diagnosis model based on BP neural network, put forwards the training algorithm and fault diagnosis steps, a certain type of radar transmitter is taken as the object, the model is applied to fault diagnosis, and use Matlab for simulation validation. The simulation results show that the artificial neural network can meet the requirements of radar automatic fault detection and diagnosis system of high reliability and maintainability requirements.

关 键 词：故障诊断 神经网络 训练算法 

分 类 号：TJ06[兵器科学与技术—兵器发射理论与技术]