摘要
为了提高航空发电机整流管组件故障诊断系统的效果和可靠性,本文采用DSP芯片和神经网络方法设计了一个故障检测系统,可实现对发电机整流管组件整流管正常工作、单管断路和双管断路故障等三类模式的诊断。通过对实际航空发电机的数据进行分析,结果表明,对给定的数据,系统诊断正确率可达100%。
In order to improve the effectiveness and reliability of the fault diagnosis system for the rectifier tube assembly of aero-generator,a fault detection system was designed by using DSP chip and neural network method,which could diagnose the normal operation of the diode of the rectifier tube assembly,single-tube open circuit and double-tube open circuit.By analyzing the data of actual aero-generator,the results show that the system diagnosis accuracy can reach 100%for the given data.
作者
陈章恒
王啸
苑振宇
CHEN Zhangheng;WANG Xiao;YUAN Zhenyu(Wuhu Tianhang Equipment Technology Co.,LTD.,Wuhu Anhui 24110,China)
出处
《微电机》
2024年第3期44-46,58,共4页
Micromotors
关键词
整流管组件
故障诊断
数字信号处理器
反向传播神经网络
rectifier module
fault diagnosis
digital signal processor
back propagation neural network
