De-noising of eddy current array signal based on empirical mode decomposition threshold
- https://doi.org/10.2991/icmmita-16.2016.114How to use a DOI?
- eddy current array signal; empirical mode decomposition(EMD); wavelet threshold de-noising.
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/icmmita-16.2016.114 ID - Yang2017/01 ER -