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Abstract Based on in-situ microseismic data，the features of blasting vibration and rock fracture microseismic signals were studied. Firstly，using the wavelet packet analysis method，the microseismic signals were decomposed into 5 multi-scale，32 frequency bands to calculate the signals energy under different bands. Secondly，via building 4 new frequency bands to compare the rock fracture signals and blasting vibration signals，the energy distribution was different，and the contrasting characteristics was more obvious. The results indicate that the frequency band energy distribution character of microseismic signals in mine field are as follows：the energy of rock fracture signals was concentrated in S5，0–S5，7 bands(0–125 Hz)；blasting vibration signal was more obviously concentrated in S5，24–S5，31 bands(375–500 Hz). This analysis procedure provides a new method for recognizing blasting vibration and rock fracture signals，and the calculated distribution feature of signals energy can be used to recognize microseismic waveforms as feature index.
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Received: 15 September 2011
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2012, Vol. 31 
