基于CEEMD和改进小波阈值法的钢架结构沉降数据去噪方法  

Denoising Method of Steel Frame Structure Settlement Data Based on CEEMD and Improved Wavelet Threshold Method

作　　者：王民顿 尚俊娜[1] WANG Mindun;SHANG Junna(School of Communication Engineering,Hangzhou Dianzi University,1158 Erhao Street,Hangzhou 310018,China)

机构地区：[1]杭州电子科技大学通信工程学院,杭州市310018

出　　处：《大地测量与地球动力学》2022年第11期1191-1195,共5页Journal of Geodesy and Geodynamics

基　　金：中老北斗精密形变监测合作研究及示范项目(SBZ2019080054);江苏省政策引导类计划(国际科技合作)--“一带一路”创新合作项目(BZ2019006)。

摘　　要：在钢架结构安全监测过程中,针对沉降数据易受外界环境噪声干扰的问题,在互补集合经验模态分解(CEEMD)的基础上提出改进小波阈值函数的去噪方法。首先对含噪信号作CEEMD分解,得到各种本征模函数(IMF);之后选取IMF分量使用改进小波阈值去噪;最后重构IMF信息,取得降噪后的信号。仿真结果表明,基于CEEMD和改进小波阈值法的混合方法能够有效滤除信号中的噪声分量,提高沉降数据监测精度。Settlement data is easily disturbed by external environmental noise in the process of safety monitoring of steel frame structure,so we propose a denoising method with improved wavelet threshold function based on the theory of complementary ensemble empirical mode decomposition(CEEMD).First,the noisy signal is decomposed by CEEMD to obtain various eigenmode functions(IMF),then we select the IMF components for the improved wavelet threshold to denoise,and finally we reconstruct the IMF information to obtain the denoised signal.The simulation results indicate that the hybrid method besed on CEEMD and the improved wavelet threshold method can effectively filter the noise components in the signal and improve the accuracy of settlement data monitoring.

关 键 词：互补集合经验模态分解(CEEMD) 钢架结构 改进阈值函数 沉降监测 

分 类 号：P228[天文地球—大地测量学与测量工程] P258[天文地球—测绘科学与技术]