平稳相关函数在信号故障检测中的应用

Application of Stationary Correlation Function in Signal Fault Detection

本文以小波分析为理论,运用传统小波及小波包变换有效提取了机械设备的信号特征,达到识别故障、消除故障的目的。针对工程设备故障的复杂性和突发性,带噪信号难以识别,在传统包络解调分析方法基础上运用平稳相关函数检测设备故障,运用故障特征频率点确定故障位置。通过实验仿真说明该方法的有效性和可行性,它对于设备诊断具有重要的意义。

This paper is on the theory of wavelet analysis. Using the traditional wavelet and wavelet packet transform ,it extracts the fault characteristic in the signal .It can achieve the purpose of identifying and eliminating fault. In the view of the complexity and bursty of engineering equipment fault, the signal is difficult to be identified.The fault location is determined by using the stationary correlation function on the basis of the traditional envelope demodulation method. It is showed that the method is effective and feasible, and it is important for the diagnosis of equipment.