A study on spectrum characteristics of red sandstone acoustic emission signals based on improved EEMD

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (16) : 118-123.

DAI Congcong，CHENG Tiedong，ZONG Lu，LUO Xiaoyan

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Abstract

In view of the fact that the ensenble empirical mode decomposition (EEMD) algorithm selects the effective intrinsic mode function (IMF) in the past, the phenomenon of misjudgment was considered.A de-noising method combining EEMD with cloud similarity theory was proposed.First, through the simulation experiment in which we constructed continuous acoustic emission signals and used the correlation coefficient method to select the intrinsic mode function compared with the signal-to-noise ratio and mean square error as the index, we verified that this method can improve the signal-to-noise ratio.Second, when we used the improved EEMD algorithm for frequency characteristics of the red sand rock acoustic emission, the signal extraction results showed that the acoustic emission signal was a decomposed intrinsic mode function.The first three IMF components have high cloud similarity value, with difference range of 0.346-0.906 from other components.The experimental statistical analysis to select the threshold is 0.655.Finally, we analyzed the power spectrum, 0-25 kHz, corresponding to IMF4, IMF5, IMF6, IMF7, IMF8 low frequency components; 25-150 kHz, corresponding to IMF1, IMF2, IMF3 high frequency components, and the red sandstone rupture of the effective frequency of the acoustic emission signals for 25-150 kHz.

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acoustic emission signal / EEMD / Cloud similarity / Simulation / Power spectrum

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DAI Congcong，CHENG Tiedong，ZONG Lu，LUO Xiaoyan. A study on spectrum characteristics of red sandstone acoustic emission signals based on improved EEMD[J]. Journal of Vibration and Shock, 2018, 37(16): 118-123

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