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小波变换在蒙库铁矿爆破振动信号时频分析中的应用
Application of Wavelet Transform in Time-frequency Analysis of Blasting Vibration Signals in Mengku Iron Mine
【摘要】 爆破振动信号具有非平稳随机特性。利用小波变换分析技术,将爆破振动信号分解在不同的频率带上,得出爆破振动信号在不同频率范围内振动分量的时间变化规律,结合爆破振动信号的能量分布特征和功率谱波形,定性评价了爆破振动对边坡稳定性的影响程度。
【Abstract】 Blasting vibration signals are of non-stationarity and randomicity.Wavelet transform is used to decompose the blasting vibration signals into different frequency bands,based on which the temporal change disciplines of vibration components of different frequency range can be obtained.Then the influence degree of blasting vibration on the slope stability can be evaluated combing with the energy distribution and power spectrum wave analysis of blasting vibration signals.
【关键词】 小波变换;
爆破振动信号;
时频分析;
【Key words】 wavelet transform; blasting vibration signal; time-frequency analysis;
【Key words】 wavelet transform; blasting vibration signal; time-frequency analysis;
- 【文献出处】 爆破 ,Blasting , 编辑部邮箱 ,2010年01期
- 【分类号】TD235.1
- 【被引频次】5
- 【下载频次】151