Application of Improved Ensemble Empirical Mode Decomposition Method in Ultrasonic Testing

被引：0
|
作者：
Zhao, Xue [1 ]
Wei, Dong [1 ]
Lv, Yilin [1 ]
机构：
[1] Univ Sci & Technol Liaoning, Inst Elect & Informat Engn, Liaoning, Peoples R China
来源：
PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016) | 2016年
关键词：
time-frequency analysis; ensemble empirical mode decomposition; wavelet packet analysis; welded pipe inner burr;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The common defect types and signal characteristics of the steel pipe are introduced, the time-frequency analysis is applied to the signal, experiment results are consistence with simulation results. Inner burr model is constructed to analysis the signal characteristic of various burrs. The ensemble empirical mode decomposition (EEMD) method and wavelet packet analysis are used for the adaptive decomposition and reconstruction of the defect signal, and suppressing the noise signal([1]). Simulation analyze the decomposing effect of the EEMD method to the defect signal so that verify the feasibility and effectiveness of the method.
引用
收藏
页码：349 / 353
页数：5
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