平稳噪声背景下周期信号基频初相位检测

Detection of Initial Phase of Fundamental Frequency Component of a Periodic Signal Mixed with Stationary Noise

给出了采用Ｍｏｒｌｅｔ小波变换并结合集合平均检测叠加有平稳随机噪声周期信号基频初相位的方法，为旋转机械故障定位提供新手段。数字仿真结果及实例表明，即使信噪比很小的，本方法仍能得到较好结果。

A new method for detecting the initial phase of the fundamental frequency component of a periodic signal mixed with stationary random noise by using the Morlet wavelet transform and ensemble average is presented,which provides a more effective means for the fault location in rotary machinery.Digital simulation and a practical example show that a result with considerable accuracy can still be obtained,even if the signal to noise ratio is very low.