基于经验模态分解的形变信号滤波处理与异常提取

DEFORMATION SIGNAL FILTERING PROCESSING AND ABNORMITY PICKED-UP BASED ON EMPIRICAL MODE DECOMPOSITION

本文介绍了经验模态分解的方法与原理,给出了由经验模态分解产生的固有模态函数重构组合滤波器的原理与详细算法。通过对形变观测中典型干扰信号的综合处理、异常提取试验及其所取得的效果,综合分析认为,经验模态分解组合滤波器方法可作为形变观测数据处理中一种新的行之有效的分析方法。

Firstly, the theory of empirical mode decomposition （EMD） is introduced, and the reconstructing and filtering algorithm of intrinsic mode functions （IMF） from EMD is given in this paper. Secondly, some kinds of typical interfere signals are decomposed and filtered, abnormity pickedup by using of EMD technique in deformation data. By contrasting and analyzing, we think that the result is fairly effective. Lastly, it has shown that EMD may be a new effective processing method in analyzing of deformation observation.