Wavelet De-Noising Method of Blasting Vibration Signal Considering Different Level Noise

Abstract:

The original signals always mix with certain noise through blasting engineering test of underground structure, such as fan noise, environmental noise and mechanical noise. That makes the useful information of signal characteristics hidden in the noise signal to cause major error for the site test. The superposed signals of the original signal got by using numerical simulation and artificial white noise signal were processed through different de-noising methods based on wavelet transform. After the de-noising effects were evaluated by the evaluation standard signal de-noising performance, the best wavelet function, the effective scale of wavelet decomposition, and the threshold estimation rules were got settled on. Finally, the best de-noising method of blasting vibration signal is got to lay the foundation for the underground structure safety evaluation based on the wavelet transform theory.

• Periodical: Applied Mechanics and Materials (Volumes 204-208)
• Pages: 4556-4561
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.204-208.4556
• Online since: October 2012
• Authors: Bo Song, Ye Cao, Hong Biao Gao
• Keywords: Blasting Vibration Signal, De-Noising Method, Gain of Signal-Noise-Ratio, Wavelet Function, Wavelet Transform (WT)

References

[1] Mallat S.Singularity detection and Proeessing with wavelets[J].IEEE Trans.on Information Theory,1992,38(2):617-643

DOI: 10.1109/18.119727

[2] Donoho D L.De noising by soft-thresholding[J].IEEE Transaetion on Information,(1995)

[3] Chen S,Donoho D L.Atomie decomposition by basis pursuit[J].SIAM Journal on Seientifie Computing,1999,20(l):33-61

[4] Kong Xiangxi; Wu Jiwei; Yue Jiguang .Research on seismic signal denoising using wavelet transform [J]. Computer Aided Engineering,2005,14(3):52-56

[5] Li Xibing, Zhang Yiping, Zuo Yujun, Wang Weihui, Zhou Zilong. Filtering and denoising of rock blasting vibration signal with EMD [J]. Journal of Central South University(Science and Technology) ,2006,37(1):151-154

[6] Lou Jianwu, Long Yuan, Xu Quanjun, Zhou Xiang. A study on the extraction and prediction of blasting seismic wave characteristics by wavelet packets technique [J]. Explosion and Shock Waves,2004,24(3):261-267