摘要
提出了一个基于自适应多小波网络预测模型的飞机机械故障诊断新方法,给出了自适应多小波网络的构造方法和训练算法。以某型飞机作动器为例的计算机仿真结果表明,该方法故障诊断的能力及实时性都得以提高。
It's very important to diagnose the mechanic faults of a fighter accurately in time. A novel diagnosis method based on adaptive multi-wavelet networks prediction model was proposed. The structure and training algorithm of this adaptive multi-wavelet networks were introduced. The simulation results of a type of fighter actuator show that the method is more efficient and exact in application to three kinds of common faults diagnosis of flight control system.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第5期1270-1273,共4页
Journal of System Simulation
关键词
自适应多小波网络
预测
飞控系统
故障诊断
adaptive multi-wavelet network
prediction
flight control system
fault diagnosis