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基于小波变换的微差爆破震动信号分离法
引用本文:凌同华,李夕兵,戴塔根,彭振斌. 基于小波变换的微差爆破震动信号分离法[J]. 地下空间与工程学报, 2006, 2(3): 491-494
作者姓名:凌同华  李夕兵  戴塔根  彭振斌
作者单位:中南大学资源与安全工程学院,湖南,长沙,410083;中南大学地学与环境工程学院,湖南,长沙,410083;中南大学资源与安全工程学院,湖南,长沙,410083;中南大学地学与环境工程学院,湖南,长沙,410083
基金项目:国家重点基础研究发展计划(973计划);王宽诚教育基金
摘    要:采用震波叠加模拟法确定合理的微差延期时间,关键在于能否获取组成实测微差爆破震波的分段震波。基于小波变换的微差爆破震动信号分离法能较好地解决上述问题。首先,利用基于小波分析的时-能密度法,通过从实测爆破震动信号中识别出各段雷管实际的起爆时刻点,得到了爆破中所用雷管的实际延期时间。其次,利用信号时一频转换技术。从实测微差爆破震动信号中分离出各分段震波。最后,通过比较各分段震波在不同延期时间下的叠加效果,可以得到微差爆破的较优微差延期时间。以某地下工程爆破震动信号进行分析为例,对本方法的有效性作了检验。

关 键 词:小波变换  时-能密度分析法  微差爆破  信号时-频转换技术
文章编号:1673-0836(2006)03-0491-04
收稿时间:2005-08-05
修稿时间:2005-08-05

The Separating Means of Millisecond Blasing Vibration Signal Based on Wavelet Transform
LING Tong-hua,LI Xi-bing,DAI Ta-gen,PENG Zhen-bin. The Separating Means of Millisecond Blasing Vibration Signal Based on Wavelet Transform[J]. Chinese Journal of Underground Space and Engineering, 2006, 2(3): 491-494
Authors:LING Tong-hua  LI Xi-bing  DAI Ta-gen  PENG Zhen-bin
Affiliation:1, School of Resources and Safety Engineering, Central South University, Changsha 410083, China ; 2. School of Geoscience and Environment Engineering, Central South University, Changsha 410083, China
Abstract:The key to ascertaining reasonable delay time interval by the means of seismic waves superposition effect is to get each sub- signal from measured millisecond blast vibration signal . The separating means of millisecond blast vibration signal based on wavelet transform can solve successfully the problem mentioned above. Firstly, the authors make use of time-energy density analysis based on wavelet transform and get the real delay time by Mentifying the blast moment of shortdelay detonators. Secondly, every sub-signal is separated from measured millisecond blast vibration signal by time-frequency domain transform techniques. Lastly, the optimized delay time interval is obtained by comparing the superposition effect of sub-signal in different delay time interval. The effectiveness of the proposed method is verified with time-energy density analysis of millisecond blasting vibration signals in a underground engineering.
Keywords:wavelet transform   means of time-energy analysis   millisecond blasting   time-frequency domain transform techniques
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