Reducer vibration de-noising signal research based on wavelet transform

被引：1
|
作者：
Yu, Guangbin [1 ,2 ]
Huang, Long [1 ]
Dai, Bing [1 ]
Wu, Xuemei [2 ]
Ma, Wensheng [2 ]
机构：
[1] Harbin Univ Sci & Technol, Sch Mech & Power Engn, Harbin, Peoples R China
[2] Harbin Inst Technol, Harbin, Peoples R China
来源：
MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING | 2013年 / 274卷
基金：
中国博士后科学基金;
关键词：
Wavelet transform; de-noising; signals; fault diagnosis;
D O I：
10.4028/www.scientific.net/AMM.274.225
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Wavelet de-nosing method for complex signal is put forward in this paper. The time resolution and frequency resolution are changed as wavelet transform for signal analysis. It uses high-frequency resolution and low time resolution in low frequency analysis, and uses low-frequency resolution and high time resolution in high frequency analysis. So it fit the uncertainty principle and realize the signal time domain and in frequency domain at the same time.
引用
收藏
页码：225 / +
页数：2
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