The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
Fast Fourier transform (FFT) is the main algorithm for harmonic analysis in electric power system, but when there is the decaying DC component in input signal, FFT algorithm will have higher error.
快速傅里叶变换(FFT)是电力系统进行谐波分析的主要算法，但当输入信号中含有衰减直流分量时，FFT算法会产生较大的误差。
It is difficult to detect the periodic impulse component in the vibration acceleration signal with conventional analysis methods such as time domain wave and frequency spectrum.
通过时域波形和频谱等基本分析手段来探测振动加速度信号中的周期性冲击分量往往是困难的。
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