基于故障诊断的双谱优良特性体现

双谱切片与AR功率谱相比，能有效地去除高斯噪声，保留了信号的相位信息。减压阀振动正常信号和故障信号的AR功率谱与双谱切片均呈现了不同的波峰特性。利用小波包对两种信号的功率谱与双谱切片分别进行了特征提取，并输入BP神经网络以诊断减压阀的故障信号，对两者的诊断效果进行了对比分析，以实验的形式清晰地显示了双谱和功率谱性能上的差异。

Presence of Bispectrum's Prior Performance Based on Fault Diagnosis

Compared with AR power spectrum,bispectrum can eliminate Guassian noise effectively, and preserved singals' phase information. Both of the AR power spectrum and bispectrum obtained from  normal singals and fault singals which were acquired from a pressure relief valve's vibration show different peaks characteristics. This paper extracted features from  power spectrum and bispectrum' slices of the two kinds of singals, then the features were used as the input parameter of a BP neural network to diagnose faults of the valve. The experimental results indicate clearly the performance difference of bispectrum and AR power spectrum.