Identification of blasting vibration and coal-rock fracturing microseismic signals

Α new method based on variational mode decomposition (VMD) is proposed to distinguish between coal-rock fracturing and blasting vibration microseismic signals. First, the signals are decomposed to obtain the variational mode components, which are ranked by frequency in descending order. Second, each...

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Bibliographic Details
Published in:Applied geophysics 2018-06, Vol.15 (2), p.280-289
Main Authors: Zhang, Xing-Li, Jia, Rui-Sheng, Lu, Xin-Ming, Peng, Yan-Jun, Zhao, Wei-Dong
Format: Article
Language:English
Subjects:
Blasting
Center of gravity
Coal
Components
Decision trees
Decomposition
Distribution
Earth and Environmental Science
Earth Sciences
Eigenvectors
Energy
Energy distribution
Fracturing
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Gravity
Mathematical analysis
Methods
Microseisms
Rocks
Signal classification
Vibration
Wavelet analysis
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Summary:Α new method based on variational mode decomposition (VMD) is proposed to distinguish between coal-rock fracturing and blasting vibration microseismic signals. First, the signals are decomposed to obtain the variational mode components, which are ranked by frequency in descending order. Second, each mode component is extracted to form the eigenvector of the energy of the original signal and calculate the center of gravity coefficient of the energy distribution plane. Finally, the coal-rock fracturing and blasting vibration signals are classified using a decision tree stump. Experimental results suggest that VMD can effectively separate the signal components into coal-rock fracturing and blasting vibration signals based on frequency. The contrast in the energy distribution center coefficient after the dimension reduction of the energy distribution eigenvector accurately identifies the two types of microseismic signals. The method is verified by comparing it to EMD and wavelet packet decomposition.
ISSN:1672-7975
1993-0658
DOI:10.1007/s11770-018-0682-9