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基于自适应多小波网络预测模型的飞控系统故障诊断仿真研究 被引量:3

Mechanic Fault Diagnosis Based on Adaptive Multi-wavelet Networks Prediction Model for Fighter
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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
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  • 1I Daubechies. Ten lectures on wavelets [M]. Philadelphia: Society for Industrial and Applied Mathematics, 1992.
  • 2Licheng Jiao, Jin Pan, Yangwang Feng. Multi-wavelet Neural Network and Its Approximation Properties [J]. IEEE transaction on neural networks (S0018-9464), 2001, 12(5): 1060-1066.
  • 3Zhang J, Walter G G,Miao Y B, et al. Wavelet Neural Networks for Function Learning [J]. IEEE Trans on Signal Processing (S1053-587X), 1995, 43(6): 1485-1497.
  • 4黄宜军,章卫国,刘小雄.基于Morlet小波的飞控系统故障诊断方法研究[J].计算机应用,2005,25(9):2007-2009. 被引量:5

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