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

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Journal of Vibration and Shock ›› 2021, Vol. 40 ›› Issue (9) : 12-18.

XIONG Chunbao, WANG Meng, YU Lina

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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.

Key words

global navigation satellite system-real time kinematic (GNSS-RTK) / bridge monitoring / complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) / wavelet transformation (WT) / data noise reduction

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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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