针对转子动静碰磨故障,通过分析转子运行时产生振动信号的时频特性,提出了一种基于二进小波能量自功率谱的故障特征提取方法。该方法利用二进小波变换得到小波能量系数谱,在小波能量系数谱中找到系数之和变化最大的能量尺度层,对该层进行自功率谱变换后可将碰磨故障的特征量提取出来。 Aiming at the failure of the rotor static and dynamic impacting, a method of fault feature extraction based on the self-power spectrum of the binary wavelet energy is proposed by analyzing the time-frequency characteristics of the vibration signal generated during rotor operation. In this method, the wavelet energy coefficient spectrum is obtained by using the dyadic wavelet transform, and the energy scale layer with the largest change in the coefficient is found in the energy spectrum of the wavelet coefficient. After the power spectrum transform is performed on the layer, the feature amount of the touch-grinding fault can be extracted.