【摘要】 基于小波、分形技术的相似性,提出采用小波分形组合技术对爆破振动信号进行分析。对爆破振动信号进行不同分解尺度的小波阈值去噪,根据去噪后振动波形分形维数的变化规律确定最佳小波分解尺度,通过爆破振动信号与小波分量的相似性及小波分量自相似性验证了爆破振动信号的分形特性,通过爆破振动信号各小波分量对应盒维数值进行对比分析,得出不同频带分量分维数随频率的变化规律,提出将分形盒维数作为反映爆破振动信号频率成分的新参量。采用小波分形组合分析技术建立爆破振动信号全频带分形维数分析模型,为更加细致地研究爆破振动效应的分形特性提供了重要参考。更多还原

【Abstract】 Based on similarity of wavelet and fractal techniques,wavelet and fractal combination technique was proposed to analyze blasting vibration signals.According to the varying law of fractal dimension for vibration waveform after different scales wavelet threshold de-noising,the optimal wavelet decomposition scale was determined.Using the similarity between blasting vibration signal and its wavelet components,and the self-similarity of the wavelet components, the fractal characteristics of the blasting vibration signal were verified.Based on comparison analysis for the corresponding box-counting dimensions of the wavelet components of the blasting vibration signal,the fractal dimension changing law with different frequency components was obtained.The fractal box-counting dimensions of blasting vibration signals were taken as a new parameter,they could reflect their frequency composition.The whole frequency band fractal dimension analysis model of blasting vibration signals was built with wavelet and fraction portfolio analysis,and the results provided an important reference for more detailed study on blasting vibration effects and their fractal characteristics.更多还原