摘要
以某型船调距桨闭环控制系统模拟电路板为研究对象,采用BP神经网络算法完成了螺距发讯器电路板故障定位研究。仿真结果表明该方法故障覆盖率高、易于实现,对提高其技术保障维修能力具有重要的意义。
In order to improve the fault covering rate of the pitch feedback board of the controllable pitch propeller controlling system,the BP neural network is applied on the analog circle fault diagnosis study.The simulation results show that this fault diagnosis method has high fault-coverage rate,and easy to realize,which is of great significance to the improvement of maintenance ability of the power monitoring and control system.
出处
《机电工程技术》
2011年第9期60-62,113,共3页
Mechanical & Electrical Engineering Technology
关键词
神经网络
模拟电路
故障诊断
Neural Network
analog circuit
fault diagnosis
