Abstract: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.
WANG Mindun,SHANG Junna. Denoising Method of Steel Frame Structure Settlement Data Based on CEEMD and Improved Wavelet Threshold Method[J]. jgg, 2022, 42(11): 1191-1195.