Time-frequency Characteristic Analysis of Blasting Vibration Signal Based on Synchroextracting Transform Method
About the extraction of time-frequency characteristics of blasting vibration signals,the traditional signal analysis method has problems,such as energy divergence and poor accuracy of time-frequency analysis.Therefore,this paper introduces a new signal analysis method,synchroextracting transformation(SET),and combines empirical mode decomposition(EMD)and multi-scale wavelet decomposition(WD)to filter and reduce the blast vibration signal to obtain more accurate time-frequency analysis results.This method is used to analyze the blasting vibration signal produced by a mine,and the results show that empirical mode decomposition(EMD)and multi-scale wavelet decomposition(WD)can effectively filter out the interference component in the original signal,and the correlation coefficient between the pure signal after noise reduction and the original signal reached 0.959 8.At the same time,the short-time Fourier transform(STFT)and the synchroextracting transformation(SET)are performed on the pure signals,which verify that the synchroextracting transformation(SET)has higher time-frequency analysis accuracy in the time-frequency analysis of the blasting vibration signal by comparing the time-frequency analysis results and information entropy of the two.
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