小波神经网络诊断系统的应用与进展

Applications and Progress of Diagnostic System Based on Wavelet Neural Networks

针对机械设备的非线性系统特性及其信号的非平稳时变特性，提出了用小波分析法处理非平稳时变信号提取特征向量和采用神经网络映射系统的非线性传递特性的设备诊断系统，实现对复杂机械的故障诊断。并分析了神经网络诊断系统的发展前景。

In view of the nonlinear properties of a complex machine and its nonstationary sig nals,a system of extracting feature vectors by the wavelet transform over the nonstationary signals and imaging the nonlinear transfer characteristics by neural networks to realize the fault diagnosis of the machinc is presented. The prospects about the neural networks diagnos tic system are also analyzed.