研究了小波分析在机械故障诊断方面的应用,通过对截割滚筒部位振动信号的研究表明,对此类信号的小波分析提取基础上的机械故障诊断,是一种有效的分析手段。将小波分析后的数据转换到频域,在频域里进行倒谱运算。数据处理结果证明:倒谱处理使得特征频率处的特征值更加明显。对破损轴承进行上述处理和分析,证明了小波分析和倒谱结合进行故障诊断的有效性。 The application of wavelet analysis in mechanical fault diagnosis is studied. The vibration signals of the cutting drum are analyzed. It is an effective analytical method to diagnose the mechanical fault based on the wavelet analysis of such signals. Transform the data after wavelet analysis into the frequency domain and perform cepstrum operation in the frequency domain. The result of data processing proves that the cepstrum processing makes the eigenvalues ​​more obvious at the characteristic frequency. The above-mentioned treatment and analysis of the damaged bearing proves the effectiveness of fault diagnosis by combining wavelet analysis and cepstrum.