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

DOI

10.2991/icmmita-16.2016.114How to use a DOI?

Keywords

eddy current array signal; empirical mode decomposition(EMD); wavelet threshold de-noising.

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bonan Yang
AU  - Zhijun Zhang
AU  - Jinqiang Du
AU  - Yubing Wang
PY  - 2017/01
DA  - 2017/01
TI  - De-noising of eddy current array signal based on empirical mode decomposition threshold
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 617
EP  - 620
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.114
DO  - 10.2991/icmmita-16.2016.114
ID  - Yang2017/01
ER  -