APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA

LU Liang;LONG Yuan;ZHONG Ming-shou;XIE Quan-min;LI Xing-hua

Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (17) : 33-37.

PDF(1952 KB)
PDF(1952 KB)
Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (17) : 33-37.
论文

APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA

  • LU Liang, LONG Yuan, ZHONG Ming-shou, XIE Quan-min, LI Xing-hua
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Abstract

For traditional separating methods have little detail extraction ability for blasting vibration signal with low SNR, FastICA was applied to measure non-Gaussian of independent component in blasting vibration signal, and approximation signal was separated. Efficiency of FastICA was validated combining with numerical simulation and separation study of measurement signal. Experimental results show that, from blasting vibration signal with low SNR, asing fast ICA. approximation signal closed to source signal can be separated by FastICA precisely, and it provided references to introduce of FastICA and rapid detail extraction of blasting vibration signal.

Key words

low SNR / blasting vibration / independent component analysis(ICA) / separating noise form signal / separation performance

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LU Liang;LONG Yuan;ZHONG Ming-shou;XIE Quan-min;LI Xing-hua . APPLICATION RESEARCH OF SEPARATING NOISE FROM BLASTING VIBRATION SIGNAL BASED ON FASTICA[J]. Journal of Vibration and Shock, 2012, 31(17): 33-37
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