为了提高对双馈风机定、转子绕组故障和轴承故障监测的准确性,搭建了双馈风机的Simulink故障模型,得到不同故障的特征频率,通过对故障特征频率的理论分析验证了故障模型的准确性.采用ZoomFFT和多种加窗傅里叶变换来提取故障特征量,进行频谱分析并对比.实验结果表明,加rife-vincent窗FFT在处理双馈风机故障时具有较高的准确性、抗干扰性、可分辨性和可靠性;风速的变化影响故障特征频率,应根据实际风速的变化来调整故障参考值,以达到更好的双馈电机状态监测效果.%In order to improve the monitoring accuracy of faults which consist of DFIG stator and rotor winding fault and bearing fault,different fault characteristic frequencies are obtained by the Simulink fault model of DFIG,and the accuracy of the fault model is verified by theoretical analysis on the fault characteristic frequency.The ZoomFFT and multi-window Fourier transform are used to extract the fault characteristic quantity,carries on the frequency spectrum analysis and the contrast.The experimental results show that the rife-vincent window FFT has a higher accuracy,resolution and reliability in the treatment of DFIG fault of anti-jamming;the fault characteristic frequency is influenced by the change of wind speed.In order to achieve a better effect of the double fed motor state monitoring,the fault reference value should be adjusted by the actual wind speed.
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