电气设备故障诊断中的小波应用

The Wavelet Application in Electrical Equipment Fault Diagnosis

为了验证小波变换在电气设备故障诊断中的优势,该文首先分别应用小波变换和傅立叶变换对加入噪声的故障信号进行了间断点的检测,通过对比实验结果,突出显示了小波变换在含有强噪声信号的条件下,仍能对故障信号的间断点进行准确定位的特性,其次,分别应用小波变换和滤波器对上述含有噪声的故障信号进行去噪,通过误差对比,印证了小波变换在含噪故障信号信噪分离中的优势,最后,对小波变换在电气设备故障诊断中的应用前景进行了展望,并给出了其工作流程图。

In order to verify the advantages of wavelet transform in electrical equipment fault diagnosis,this paper respectively the application of wavelet transform and Fourier transform about joining discontinuity point of the fault signal of noise test,through contrast experiment results,highlights the wavelet transform under the condition of containing strong noise signal,can still be discontinuity point of fault signal characteristics of accurate positioning,secondly,the application of wavelet transform and filter respectively for the fault signal containing noise,the noise through the comparison and error verifies the wavelet transform in noise fault signal advantage of signal-noise separation,finally,the wavelet transform in the application prospect of electrical equipment fault diagnosis is discussed,and its working flow chart is presented.