基于小波网络的电动机智能故障诊断

Research the Single Compression of Motor Current Based on Wavelet Transform

构造了一个小波神经网络 ,利用神经网络实现了电动机故障类型的识别。通过理论分析和试验结果表明 ,以上方法对鼠笼电动机的故障诊断是有效的 。

A wavelet neural network is constructed. The types of motor faults are recognized adopting this network. Results of theory analysis and experiments demonstrate the effectiveness of all the methods is proposed in fault diagnosis of cage motor.