基于全矢小波分析的滚动轴承信号降噪处理  

Rolling Bearing Signal De-noising Processing Based on Full Vector Wavelet Analysis

作　　者：李浩[1] 董辛旻[1] 王爱军[2] 代瑞鹏[1] 于大永[1] 

机构地区：[1]郑州大学振动工程研究所,郑州450001 [2]中国石化中原油田分公司天然气处理厂,河南濮阳457001

出　　处：《轴承》2013年第3期50-52,共3页Bearing

摘　　要：基于小波降噪原理和全矢谱技术,提出了利用全矢小波分析对振动信号进行降噪的方法。首先,对双通道振动信号进行小波分解重构,然后再利用全矢谱技术对重构信号进行融合,不仅可以保证信号中特征信息的完整性,还可提高故障诊断的准确率。Based on the principle of wavelet de - noising and full vector spectrum technology, the method is put forward for de - noising vibration signal using full vector wavelet analysis. The wavelet decomposition reconstruction is used for vibration signals of double channels, and then the reconstructed signals are fused by using full vector spectrum technology, which extract the more complete characterization information of the signals, at the same time the accuracy of fault diagnosis is improved.

关 键 词：滚动轴承 振动信号 小波降噪 全矢谱 全矢小波分析 

分 类 号：TH133.33[机械工程—机械制造及自动化] TP29[自动化与计算机技术—检测技术与自动化装置]