摘要
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.
出处
《煤矿机械》
北大核心
2007年第1期170-172,共3页
Coal Mine Machinery
基金
国家自然科学基金(60374034)
河南省自然科学基金(0211060500)
关键词
永磁同步电动机
故障诊断
模糊小波神经网络
permanent magnet linear synchronous motor
fault diagnosis
fuzzy wavelet neural network
