A NEW SIGNAL ANALYSIS METHOD AFTER WAVELET PACKET DE-NOISING

被引：2
|
作者：
Ma, Wen-Sheng [1 ,2 ]
Ren, Xue-Ping [1 ]
Chen, Zhao-Bo [2 ]
机构：
[1] Inner Mongolia Univ Sci & Technol, Sch Mech Engn, Baotou 014010, Peoples R China
[2] Harbin Inst Technol, Sch Mech Engn, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1 AND 2 | 2008年
关键词：
Wavelet packet analysis; De-noising; Residual signal; Fault diagnosis;
D O I：
10.1109/ICWAPR.2008.4635817
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new residual signal spectrum analysis and statistics analysis method is proposed after wavelet packet de-noising. Firstly, decompose the original vibration signal by wavelet packet theory. Secondly, extract the residual signal between the de-noised vibration signal and the original vibration signal. Finally, get the trait frequency of fault signal by residual signal spectrum analysis, judge the machine run state by residual signal statistics analysis.
引用
收藏
页码：426 / +
页数：2
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