Denoising method of rock acoustic emission signal based on EEMD-SCBSS

被引：0
作者：
Zhao K. [1 ,2 ]
Yang D. [1 ,2 ]
Zeng P. [1 ,2 ]
Wang X. [1 ,2 ]
Zhong W. [1 ,2 ]
Gong C. [1 ,2 ]
Yan L. [1 ,2 ]
机构：
[1] School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou
[2] Jiangxi Provincial Key Lab of Mining Engineering, Jiangxi University of Science and Technology, Ganzhou
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2021年 / 40卷 / 05期
关键词：
Denoising; Ensemble empirical mode decomposition (EEMD); Rock acoustic emission (AE) signals; Single channel blind source separation (SCBSS);
D O I：
10.13465/j.cnki.jvs.2021.05.024
中图分类号：
学科分类号：
摘要：
Aiming at characteristics of rock acoustic emission (AE) signal, such as, low signal-to-noise ratio, strong randomness and non-stationarity, etc., a filtering method of AE signals based on ensemble empirical mode decomposition (EEMD) and single channel blind source separation (SCBSS) was proposed. Firstly, an AE signal with background noise was decomposed with EEMD to obtain a series of intrinsic mode functions (IMFs) arranged from higher frequency to lower one. Secondly, high frequency background noise signal and observation signal were extracted to construct virtual multi-channel observation signals. Finally, the fast-independent component analysis (Fast ICA) algorithm was used to do blind source separation (BSS) of the constructed virtual multi-channel observation signal, and then obtain the denoised AE signal. Through constructing AE signal with noise to do numerical simulation tests and analyzing the actually measured data, the filtering method based on EEMD and SCBSS was compared with the wavelet threshold filtering method. The test results showed that the wavelet threshold filtering method can cause the distortion of frequency domain information of denoised rock AE signal, and affect the identification of parameters of rising time and energy for rock denoised AE signal; the proposed method can effectively denoise rock AE signals, suppress non-stationary random noise in AE signals, and protect frequency domain information of rock denoised AE signals. © 2021, Editorial Office of Journal of Vibration and Shock. All right reserved.
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页码：179 / 185and210
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