基于改进EMD-小波包的爆破振动信号降噪方法研究

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Abstract Aiming at the problems of mode aliasing and poor signal noise reduction effect in empirical mode decomposition (EMD), according to the idea of decomposition-orthogonal-clustering-noise reduction-reconstruction, a blasting vibration signal noise reduction method based on improved EMD-wavelet packet was proposed. The method combined the orthogonality of kernel principal component analysis (KPCA), the clustering property of K-means algorithm and the noise reduction advantage of wavelet packet. This method could not only eliminate the modal aliasing of EMD, but also had a good noise reduction effect. The results show that compared with CEEMDAN and EMD methods, the improved EMD- wavelet packet method has the highest signal to noise ratio (7.9dB) and the lowest root mean square error (RMSE) in analog signal simulation test. In the noise reduction of the measured blasting vibration signal, the correlation coefficient between the original signal and the signal after noise reduction by improved EMD- wavelet packet method is maximum 0.91. The improved EMD-wavelet packet and CEEMDAN methods have better performance, improved EMD-wavelet packet has the best performance in preserving low frequency vibration signals at 10−60 Hz, the best filtering effect on medium and high frequency noise above 60 Hz.

Key words： blasting vibration signal empirical mode decomposition（EMD） kernel principal component analysis（KPCA） K-means algorithm wavelet packet noise reduction

Received: 15 June 2023 Published: 15 June 2024

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	Articles by authors
	YAN Peng1
	ZHANG Yunpeng1
	2
	HOU Shanying1
	ZHANG Weiwei3
	YANG Xi1
	2

Cite this article:

YAN Peng1,ZHANG Yunpeng1,2, et al. Noise reduction method for blasting vibration signals based on improved EMD-wavelet packet[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(11): 264-271.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I11/264

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