基于小波分析的发电机匝间短路故障的智能诊断研究

An intelligent fault diagnosis of shorted-circuit between the winding based on wavelet network

本文提出了基于小波变换和模糊理论的智能诊断新策略．通过故障信号小波变换的模量极大值特征的提取，可实现发电机定子绕组匝间短路故障的诊断．仿真实验表明，本方法适用于动态非平稳故障信号的特征提取，适合于实时故障检测．同时，结合模糊诊断技术提高了故障的诊断率．

An intelligent fault diagnosis strategy is presented based on Wavelet transform and Fuzzy theory,and the fault symptoms in the shorten circuit fault diagnosis within the stator winding generator, The experi ment reseorches showthat of the signals are extracted using Wavelet modules maximum.It is successfully applied this approach has advantages on the dynamic nonstationary fault signal, and suitable for the real-time fault monitor.The reliability is greatly improved using the fuzzy diagnosis technique.