摘要
为实现舰炮的故障预测和健康管理,针对舰炮电气系统的运行机理,利用电路仿真软件提取了该系统的故障知识,建立了故障诊断专家系统知识库,并运用BP神经网络方法实现了该舰炮电气系统的故障预测。仿真结果验证了该方法的有效性,取得了良好的诊断预测效果。
To realize the fault prediction and health management of naval gun, the fault knowledge is ac- quired based on that operation mechanism using the circuit simulation software. Then the knowledge data- base of the fault diagnosis expert system is build. Final, the fault prediction of naval eleetrieal system is realized by using BP neural network （NN）. Simulation results show the effectiveness of the method.
出处
《四川兵工学报》
CAS
2014年第11期18-20,共3页
Journal of Sichuan Ordnance
关键词
故障预测
神经网络
舰炮
PHM
fault prediction
neural network
naval gun
PHM
