【摘要】 提出一种基于改进的经验模态分解(EMD)锚固动测信号处理方法。EMD法能将信号中不同尺度的波动和趋势项逐级分解开来,具有自调节自适应的特征,能在时频域内描述非平稳非线性信号的局部特性。基于改进的EMD算法,实现应力波反射法锚固动测缺陷信号的分离与诊断,消除了由实测信号直接读取反射波特性所存在的误差,具有较好的准确性和灵活性。模型试验结果表明,该法简单、有效,并具有较高的分析精度。更多还原

【Abstract】 Based on the improved empirical mode decomposition(EMD) algorithm,a signal processing method for dynamic testing of the bolt anchorage system is proposed.As a self-adaptive approach,EMD method can be used to decompose the local characteristics of the no-stationary and nonlinear signals into several fluctuations and trend items with different time scales step by step.Defects information of the bolt anchorage system,which gained from signal separation and diagnosis of stress wave reflection with EMD method,is obtained by getting ride of errors from actual measured signals.The conduction results,with a model test shown,demonstrate that this method is a simple and effective approach with adaptive resolution,and can get more accuracy and flexibility.更多还原