基于PEMD-MPE算法的露天矿爆破振动信号降噪方法

doi:10.11872/j.issn.1005-2518.2024.01.088

Abstract

Abstract:

In order to remove the noise components mixed in the blasting vibration signals of open-pit mine，a noise reduction method based on the PEMD-MPE algorithm was proposed.This algorithm obtains a completely orthogonal Intrinsic Mode Function （IMF） components through Adaptive Orthogonal Empirical Mode Decomposition （PEMD）.Subsequently，it performs a randomness test on the IMF components and calculates its Mean Power Entropy （MPE）.Finally，based on a preset entropy threshold of 0.6，it determines whether a component is noise.If the obtained MPE is greater than 0.6，the component is identified as a noise component and needs to be removed，thus achieving the purpose of noise recluction.Applying this algorithm to denoise measured open-pit mining explosion vibration signals，the results indicate that compared to the EMD-MPE and EEMD-MPE algorithms，the proposed algorithm improves the signal-to-noise ratio by 3.520 dB and 1.107 dB，respectively.It exhibits the best denoising effect，with the smallest reconstruction standard deviation and root mean square error，providing better fidelity to the original signal.Using Adaptive Optimal Kernel （AOK） time-frequency analysis technology to analyze the signal waveforms before and after denoising，a comparison reveals consistent main frequencies.Throughout the denoising process，peak energy and energy in the main frequency band （0~300 Hz） do not show a significant decrease.This indicates that the PEMD-MPE algorithm，while preserving the authenticity of the real signal，more effectively removes noise components.

Key words: open-pit mine, blasting vibration, vibration signal, noise reduction, PEMD-MPE algorithm, AOK time-frequency technology

CLC Number:

TD235.1

Shuhong DAI, Zhanjun ZHANG, Kai LIU, Hao ZHENG, Qinglin SUN. Noise Reduction Method of Open-pit Blasting Vibration Signal Based on PEMD-MPE Algorithm[J].Gold Science and Technology, 2024, 32(1): 82-90.

Figures/Tables 10

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Table 1

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Table 2

Noise reduction effectiveness indicators of various algorithms for blasting vibration signals"

原始信号	降噪算法	信噪比ξ/dB	均方根误差 $ε$	重构标准差ESD
s1	EMD-MPE算法	22.512	0.0251	0.0203
	EEMD-MPE算法	24.925	0.0192	0.0304
	PEMD-MPE算法	26.032	0.0187	0.0178
s2	EMD-MPE算法	21.427	0.0291	0.0241
	EEMD-MPE算法	24.856	0.0243	0.0284
	PEMD-MPE算法	27.042	0.0179	0.0168
s3	EMD-MPE算法	22.615	0.0287	0.0235
	EEMD-MPE算法	25.012	0.0223	0.0297
	PEMD-MPE算法	26.783	0.0168	0.0154

Table 2

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分量	MPE均值	分量	MPE均值
IMF1	0.2452	IMF5	0.7584
IMF2	0.3278	IMF6	0.7916
IMF3	0.4014	IMF7	0.8706
IMF4	0.5326	IMF8	0.9023

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Noise Reduction Method of Open-pit Blasting Vibration Signal Based on PEMD-MPE Algorithm

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