基于模糊小波神经网络的永磁直线同步电机故障诊断

Fault Diagnosis of Permanent Magnet Linear Synchronous Motor Based on Fuzzy Wavelet Neural Network

在分析永磁直线同步电机故障的基础上,采用小波基函数作为模糊隶属函数,将模糊控制与神经网络相结合,建立模糊小波神经网络模型,实现对永磁直线同步电机的故障诊断。针对BP算法的不足,使用混合学习算法训练网络,优化了网络参数。仿真结果表明该方法是很有效的。

Based on fault analysis of permanent magnet linear synchronous motor （PMLSM）, a fuzzy wavelet neural network model is founded for fault analysis of PMLSM, in which wavelet basis function is used as mem- bership function and frizzy control combines with neural network. Because Of defects of BP algorithm, a hybrid learning algorithm is applied to train and optimize the network parameters. At last, the simulation results show that the method is effective.