Denoising Method of Discharge Guide Wall Vibration Signal Based on CEEMDAN and MPE and Its Application

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Denoising Method of Discharge Guide Wall Vibration Signal Based on CEEMDAN and MPE and Its Application

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[1]LIU Fang,ZHANG Lufeng,PANG Bohui,et al.Denoising Method of Discharge Guide Wall Vibration Signal Based on CEEMDAN and MPE and Its Application[J].Journal of Zhengzhou University (Engineering Science),2022,43(05):91-97.[doi:10.13705/j.issn.1671-6833.2022.05.002]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 43卷 Number of periods: 2022 05 Page number: 91-97 Column: Public date: 2022-08-22

Title:: Denoising Method of Discharge Guide Wall Vibration Signal Based on CEEMDAN and MPE and Its Application

Author(s):: LIU Fang¹; ZHANG Lufeng¹; PANG Bohui²; LIANG Chao¹; YAO Ye¹; 1.State Key Laboratory of Hydraulic Engineering Simulation and Safety，Tianjin University, Tianjin 300354, China;
2.Huaneng Lancang River Hydropower Inc., Kunming 650214,China

Keywords:: discharge guide wall vibration signal; CEEMDAN; multi-scale permutation entropy; wavelet threshold analysis; signal denoising

CLC:: TV65

DOI:: 10.13705/j.issn.1671-6833.2022.05.002

Abstract:: In order to solve the problem of random noise in the measuring vibration displacement signals of the discharge guide wall, multi-scale permutation entropy was introduced to reduce the noise of the vibration signal of the discharge guide wall. A signal denoising method based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN) and multi-scale permutation entropy(MPE) was applied to discharge structures. The vibration signal of the guide wall was decomposed by CEEMDAN to obtain a series of intrinsic mode functions (IMFs)，and then the multi-scale permutation entropy (MPE) was introduced to analyze the randomness of each IMF，and MPE value was used as the evaluation index to screen them into noise-dominant IMF and real IMF. The wavelet threshold denoising method was used to denoise the noise-dominant IMF. The processed data was reconstructed with the remaining real IMFs to obtain the pure guide wall vibration signal. The results of simulation signals and engineering examples showed that this method could improve the noise reduction effect of the signal,accurately remove the noise in the vibration signal of the discharge guide wall，and retain the characteristic information of the vibration signal effectively,it had certain feasibility . The noise reduction results of this method could be used as a reliable basis for the safety monitoring of the discharge guide wall, and could be applied to the noise reduction of similar vibration signals of the guide wall.

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Last Update: 2022-08-23