Abstract:The noise components contained in the deformation monitoring data are difficult to effectively filter out, which leads to the unsatisfactory accuracy of the prediction results, so we propose a new noise reduction method applied in the field of deformation monitoring. First, we use VMD to decompose the original monitoring sequence into k band-limited natural mode functions(BIMF) with different center frequencies, and then directly remove the high-frequency BIMF with sample entropy greater than a set threshold as the noise component, and finally reconstruct the remaining BIMF to obtain the noise reduction sequence. The effectiveness and feasibility of the new method are verified by simulation and engineering examples; the results show that compared with EEMD and CEEMD, the new method has the best evaluation index, and the noise reduction results obtained by the VMD-SE method can provide a reliable basis for further deformation analysis and prediction.
LU Tieding,XIE Jianxiong. Deformation Monitoring Data De-Noising Method Based on Variational Mode Decomposition Combined with Sample Entropy[J]. jgg, 2021, 41(1): 1-6.