桥梁GNSS-RTK变形监测数据的CEEMDAN-WT联合降噪法

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振动与冲击 ›› 2021, Vol. 40 ›› Issue (9) : 12-18.

论文

熊春宝，王猛，于丽娜

作者信息 +

CEEMDAN-WT joint denoising method for bridge GNSS-RTK deformation monitoring data

XIONG Chunbao, WANG Meng, YU Lina

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文章历史 +

摘要

在桥梁GNSS-RTK变形监测中，监测信号会被多路径噪声误差所影响。针对上述问题，提出了自适应经验模态分解（CEEMDAN）和小波变换（WT）相结合的方法对桥梁GNSS-RTK监测数据进行降噪处理。采用CEEMDAN对振动响应进行分解得到本征模态函数（IMFs），利用相关系数鉴别出有效的IMFs，同时利用WT中的不同小波基对其余噪声与信号共存的IMFs进行阈值降噪，最后对信号进行重组。通过对模拟试验和基于GNSS-RTK的海河斜拉桥实测数据进行处理，结果表明，CEEMDAN相比于EEMD能有效解决模态混叠问题，CEEMDAN与WT相结合的方法对桥梁监测数据具有良好的降噪效果，能成功提取到桥梁真实位移信息。

Abstract

In bridge GNSS-RTK deformation monitoring, monitoring signals can be affected by multi-path noise errors.Here, aiming at this problem, a method to combine adaptive EMD (CEEMDAN) and wavelet transform (WT) was proposed to denoise the bridge GNSS-RTK monitoring data.CEEMDAN was used to decompose the bridge’s vibration response, and obtain its intrinsic mode functions (IMFs).Effective IMFs were identified using correlation coefficient.Meanwhile, different wavelet bases in WT were used to perform threshold denoising for remaining IMFs with coexisting noise and signal.Finally, the signal was re-constructed.Through processing simulation test data and the actually measured data of Haihe River cable-stayed bridge based on GNSS-RTK, the results showed that compared with EEMD, CEEMDAN can effectively solve the problem of modal aliasing, the proposed CEEMDAN-WT method has a good noise reduction effect on bridge monitoring data, and can successfully extract bridge real displacement information.

导出引用

熊春宝，王猛，于丽娜. 桥梁GNSS-RTK变形监测数据的CEEMDAN-WT联合降噪法[J]. 振动与冲击, 2021, 40(9): 12-18

XIONG Chunbao, WANG Meng, YU Lina. CEEMDAN-WT joint denoising method for bridge GNSS-RTK deformation monitoring data[J]. Journal of Vibration and Shock, 2021, 40(9): 12-18

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