摘要
针对工程爆破网络监测与预报系统对精度、效率的要求,提出将提升小波包最优基分解算法应用于爆破振动信号的降噪处理及能量特征提取。在提升小波包多尺度变换的基础上,通过对最优基搜索算法的改进满足了复杂信号在线处理对算法的需求,结合应用实例验证了该算法能够有效滤除实测信号中的干扰噪声,并准确获取信号在各频带的能量分布特征。提升小波包最优基分解算法在爆破振动信号分析中的应用为爆破振动危害的研究和控制提供了分析基础和技术支持,具有良好的应用前景。
Lifting wavelet packet decomposing algorithm based on optimal basis was applied in de-noising blast vibration signals and analysis of energy distribution in order to ensure the accuracy and efficiency of an engineering blasting network monitoring and forecasting system.Based on lifting wavelet packet multi-scale transformation,an improved search algorithm for optimal basis was used,it met the needs of online processing of complicated signals.In application examples,noise was filtered with the lifting wavelet packet decomposing algorithm,and the energy distribution of every frequency band was acquired precisely.The application of the proposed algorithm in analysing blasting vibration signals provided a study basis and technical supports for study and control of blasting vibration hazards.
出处
《振动与冲击》
EI
CSCD
北大核心
2014年第5期165-169,186,共6页
Journal of Vibration and Shock
基金
国家自然科学基金(51178460)
国家青年基金项目(51204071)
关键词
爆破振动
提升小波包
最优基
降噪
能量特征
blasting vibration
lifting wavelet packet
optimal basis
de-noising
energy features
