基于小波网络航空发动机滑油系统故障诊断方法研究

Research on Fault Diagnosis of Aviation-engine Lubricant System Based on Wavelet Neural Networks

研究基于小波神经网络的非线性系统的故障检测和诊断方法。把小波分析与前馈神经网络相融合,并推导出其具体的算法。应用小波神经网络对航空发动机滑油系统进行故障诊断。实验和仿真的结果表明:小波网络应用于故障诊断时具有收敛速度快,对网络输入不敏感等特点,为非线性系统的故障诊断提供了新的理论和方法。

Fault detection and diagnosis methods for non-linear system based on wavelet neural networks are researched. Wavelet analysis and forward feedback neural networks are fused, and the algorithm is inferred. The method of wavelet neural networks is used in fault diagnosis for the aero-engine lubricant system. Results of simulations and tests show that, this method, which is good to fault diagnosis for non-linear systems, does better in convergence speed, and is not sensitive to the inputs of the net.