A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold

FEI Honglu; LIU Meng; QU Guangjian; GAO Ying

doi:10.11883/bzycj-2016-0148

Volume 38 Issue 1

Nov. 2017

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FEI Honglu, LIU Meng, QU Guangjian, GAO Ying. A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold[J]. Explosion And Shock Waves, 2018, 38(1): 112-118. doi: 10.11883/bzycj-2016-0148

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FEI Honglu, LIU Meng, QU Guangjian, GAO Ying. A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold[J]. Explosion And Shock Waves, 2018, 38(1): 112-118. doi: 10.11883/bzycj-2016-0148

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A method for blasting vibration signal denoising based on ensemble empirical mode decomposition-wavelet threshold

doi: 10.11883/bzycj-2016-0148

1.
Institute of Blasting Technique, Liaoning Technical University, Fuxin 123000, Liaoning, China
2.
Guangzhou China Blast Digital Information Technology Co., Ltd., Guangzhou 510670, Guangdong, China
3.
School of Computer Science & Engineering, South China University of Technology, Guangzhou 510641, Guangdong, China

Received Date: 2016-05-25
Rev Recd Date: 2016-08-26
Publish Date: 2018-01-25

Abstract

Abstract

In this work we proposed a method based on ensemble empirical mode decomposition (EEMD) and wavelet threshold for eliminating the noise contained a in blasting signal. Following this method, the signal is firstly decomposed using the ensemble empirical mode decomposition; then, the intrinsic mode function with noise is processed by the wavelet threshold denoising; and, finally, the processed signal is superimposed on the untreated component of the signal, and the signal thus reconstructed is the denoised signal. This method can not only can effectively remove the noise, but also enable the burst wave form to retain its authenticity and integrity
- blasting signal,
- ensemble empirical mode decomposition,
- wavelet threshold,
- denoising

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References(18)

References

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