De-noising of eddy current array signal based on empirical mode decomposition threshold

被引：0
|
作者：
Yang, Bonan [1 ]
Zhang, Zhijun [1 ]
Du, Jinqiang [1 ]
Wang, Yubing [1 ]
机构：
[1] Air Force Engn Univ, Aeronaut & Astronaut Engn Coll, Xian 710038, Peoples R China
来源：
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications | 2016年 / 71卷
关键词：
eddy current array signal; empirical mode decomposition(EMD); wavelet threshold de-noising; TIME-SERIES;
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：
A method based on the empirical mode decomposition (EMD) threshold de-noising algorithm is proposed since eddy current array signal is mixed with more high frequency noise. This algorithm consists of four steps: (i) The signal is decomposed into IMFs by EMD, (ii) the signal is recombined based on energy reduction of the first IMF, and then the recombined signal is decomposed by EMD, (iii) IMFs of much noise according to the noise statistics are de-noised by threshold de-noising, (vi) de-noised IMFs and non-processed IMFs are reconstructed into the de-noised signal. Experimental and simulation results show that this new method can get higher SNR, reduce the RMSE, and be more effective to recover the original signal.
引用
收藏
页码：617 / 620
页数：4
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