改进小波阈值算法在电机振动信号降噪中的应用  

Improved wavelet threshold algorithm application in motor vibration signal denoising

作　　者：王立东[1] 张凯[1] 王良润[2] 

机构地区：[1]辽宁科技大学电子与信息工程学院,辽宁鞍山114051 [2]辽宁科技大学国家大学科技园,辽宁鞍山114051

出　　处：《电子技术应用》2015年第5期77-80,87,共5页Application of Electronic Technique

基　　金：鞍山市科技计划项目资助(20131203)

摘　　要：针对采集的电机振动信号中夹杂着噪声干扰的问题,提出一种基于贝叶斯估计的小波收缩新阈值的电机振动信号降噪方法。新阈值考虑了振动信号经小波变换后在不同尺度上的去噪特性,更符合噪声在各层中的分布情况;改进阈值函数对振动信号进行降噪处理,较好地弥补了各阈值函数的缺陷,保证了阈值函数的连续性,并且可以灵活调节阈值以适应不同噪声情况,同时解决了固有阈值函数带来的偏差问题,很好地保护了含噪信号的有用信息。According to the problem of noise interference in the motor vibration signal acquisition, a novel motor vibration sig- nal denoising method of wavelet shrinkage threshold based on Bayesian estimation was proposed. The vibration signal denoising char- acteristics of different scales are considered in proposed method. The new threshold is suitable for the situation of noise distribution. Noise reduction can be gotten by improving the threshold function. The improved threshold function makes up for deficiencies of each threshold functions better. The continuity of the proposed threshold function and the flexibility of threshold adjustment can be guaranteed. Meanwhile, the proposed threshold function solves the problem of deviation of inherent threshold function, and the useful information of noisy signal can be protected.

关 键 词：降噪 阈值 振动 电机 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]