Signal Processing By Energy Normalization Method Based On Wavelet Packet

被引：1
|
作者：
Chen Tao [1 ]
Xu Xiao-li [1 ]
Wang Shao-Hong [1 ]
机构：
[1] Beijing Inst Technol, Beijing 100081, Peoples R China
来源：
DAMAGE ASSESSMENT OF STRUCTURES VIII | 2009年 / 413-414卷
关键词：
Wavelet Packet; Energy Normalization; Signal Processing; Feature Extraction;
D O I：
10.4028/www.scientific.net/KEM.413-414.613
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Fault diagnosis is a key technology to ensure safe and reliable operation of large electromechanical equipments. Fault feature extraction is important in fault diagnosis process. For non-stationary vibration signal, energy normalization method based on wavelet packet is used to make signal processing with signals decomposed into different frequency bands to perform energy normalization process in corresponding frequency band so as to extract fault feature. Flue Gas Turbine is chosen as research object and analysis shows that energy normalization processing method based on wavelet packet can effectively extract non-stationary signal characteristic parameters and make effective nondestructive testing analysis of equipments condition.
引用
收藏
页码：613 / 619
页数：7
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