期刊论文

Characteristics Analysis of Blast Vibration Signals based on Pattern Adapted Continuous Wavelet Energy Spectrum

中文

爆破

1001-487X

2019

36

2

105-110

10.3963/j.issn.1001-487X.2019.02.016

51608183:国家自然科学基金 51678226:国家自然科学基金 2018JJ3022:湖南省自然科学基金

本校为第一机构

爆破振动信号是一种典型的非平稳随机信号,采用傅里叶分析法求得的谱分布往往呈现锯齿状,不仅主振频率的具体位置难以确定,而且对于主振频率周边的频率成分以及各频率区间内的能量分布,亦难以直观显现。结合爆破工程实测资料,利用模式自适应连续小波变换具有良好的时频局部化性质,提出了模式自适应连续小波能量谱分析方法,从时间-尺度能量谱、尺度能量谱和时间能量谱3个方面对单段与多段爆破振动信号进行能量细化特征分析。研究结果表明:爆破振动信号小波能量谱直观定位了爆破地震波所发生的时间、频率以及能量的大小;单段爆破振动信号的能量在频域上主要分布在中高频部分,在时域上具有瞬发性和...

Blasting vibration signal is a typical non-stationary random signal, and the spectral distribution from Fourier analysis method often presents zigzag wave shape. It is difficult to determine the specific location of main vibration frequency and to directly visualize the frequency components around the main frequency and the energy distri? bution on each frequency. Combined with actual measured data from blasting engineering and the mode adaptive continuous wavelet transform with good time-frequency localization property, the energy spectrum analysis method of pattern adapted continuous wavelet...