Abstract
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.
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We wish to thank the reviewers for their constructive comments.
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This work was supported by the National Key Research and Development program of China (No. 2016YFC0801406), Shandong Key Research and Development program (Nos. 2016ZDJS02A05 and 2018GGX109013) and Shandong Provincial Natural Science Foundation (No. ZR2018MEE008).
Zhang Xing-Li received her B.Eng. (2002) and M.Eng. (2005) in Software Engineering from the Taiyuan University of Technology, and her Ph.D. (2010) in Software Engineering from Shandong University of Science and Technology. She is presently working in the College of Computer Science and Engineering, Shandong University of Science and Technology. Her main research interests are microseismic signal analysis and processing.
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Zhang, XL., Jia, RS., Lu, XM. et al. Identification of blasting vibration and coal-rock fracturing microseismic signals. Appl. Geophys. 15, 280–289 (2018). https://doi.org/10.1007/s11770-018-0682-9
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DOI: https://doi.org/10.1007/s11770-018-0682-9