摘要
文章将人工神经网络技术、基于动量因子技术的改进BP网络训练算法应用于飞机电气设备故障诊断。以飞机交流异步电动机为例,建立了故障诊断模型。仿真结果表明该算法的应用是可行的,具有较强的推广前景。
The faults of AC electromotor of airplane and the characters of artificial neural network are analyzed. An improved BP neural network algorithm with momentum technique is applied to make a fault diagnosis in the electric equipments of airplane. The simulated result of AC electromotor fault diagnosis model has proved its effectiveness.
出处
《电力科学与工程》
2005年第1期69-72,共4页
Electric Power Science and Engineering
关键词
电气设备
故障诊断
神经网络
动量BP算法
专家系统
electric equipment
fault diagnosis
neural network
momentum BP algorithm
expert system
