利用二进小波消除电动机故障信号白噪声

Removing White Noises from Fault Signals of Motors with Dyadic Wavelets

通过对信号奇异点在二进小波变换下特性的研究，阐明了白噪声的性态与电动机故障信号的奇异性态在二进小波变换下的截然不同的性质，总结出简明的判据并据此提出了一种消除电动机故障信号中的白噪声的实用算法。

The properties of fault signals of motors are studied using dyadic wavelets transform in this paper,which can be treated as signals with sigularities.The method of removing white noises is presented by using the difference between the wavelets transforms of white noises and those of fault signals of motors in this paper.'Denoised' signals can be reconstructed by using this practical algorithm.