基于改进的集合经验模态分解的爆破振动信号趋势项消除方法

针对实测爆破振动信号中存在的趋势项干扰问题，基于改进的集合经验模态分解，提出一种趋势项消除方法，并进行了模拟信号的仿真计算和爆破振动信号的实例分析.信号仿真计算结果显示:对于持续振动信号，该方法的趋势项提取结果与已有的基于经验模态分解或集合经验模态分解的趋势项消除方法较为接近；但当测试信号呈间歇振动时，该方法对趋势项的提取更为充分，体现了其对分段爆破振动信号中趋势项消除的优越性和适用性.同时，爆破振动速度信号的实例分析验证了该方法在实际应用过程中的可靠性. 

Trend Removing Method of Blasting Vibration Signals Based on MEEMD

A trend removing method based on modified ensemble empirical mode decomposition (MEEMD) was proposed,to solve the trend interference problem existing in blasting vibration tests,and the extensive simulations of analog signals and the case analysis of blasting vibration signal were carried out. The extensive simulations show that the results of the proposed method for sustained vibration signals are close to the results of the existing trend removing methods based on empirical mode decomposition (EMD) or ensemble empirical mode decomposition (EEMD). When the test signals are intermittent,the proposed method can extract the trend more fully,which embodies its superiority and applicability to remove the trend in blasting vibration signal. In the meantime,the reliability of the proposed method in practical application was proved by the case analysis.