基于CEEMDAN-改进小波阈值的大坝变形数据处理方法  

Dam deformation data processing method based on CEEMDAN and improved wavelet threshold

作　　者：石佳晨 岳春芳[1] 朱明远 皮李浪 SHI Jiachen;YUE Chunfang;ZHU Mingyuan;PI Lilang(College of Hydraulic and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Institute of Water Resources and Hydropower Research,Urumqi 830049,China;College of Water Conservancy and Hydraulic Engineering,Hohai University,Nanjing 210098,China)

机构地区：[1]新疆农业大学水利与土木工程学院,新疆乌鲁木齐830052 [2]新疆水利水电科学研究院,新疆乌鲁木齐830049 [3]河海大学水利水电学院,江苏南京210098

出　　处：《水利水电科技进展》2024年第5期80-86,102,共8页Advances in Science and Technology of Water Resources

基　　金：新疆维吾尔自治区水利科技专项资金资助项目(XSKJ-2023-23)。

摘　　要：针对现有方法对大坝变形监测数据去噪精度低、易将部分高频有用信息误判为噪声的问题,提出了一种自适应噪声完备集合经验模态分解(CEEMDAN)和改进小波阈值联合去噪的方法。该方法利用CEEMDAN对原始数据进行分解,通过t检验对分解获得的多个本征模态函数(IMF)分量进行特征分析,筛选出含噪分量并利用Pearson相关系数和方差贡献率进行校验,最后采用改进的小波阈值对筛选出的含噪分量进行精细化去噪,并重构去噪后的模态函数分量,得到去噪后的数据。仿真试验和工程实例验证结果表明,该方法在多种不同指标上均优于对比的3种方法,同时能够更有效地保留数据的高频有用信息,提高准确度和平滑性,可用于大坝中的非线性变形数据去噪处理。To address the issues of low denoising accuracy and the misclassification of useful high-frequency information as noise in existing methods for dam deformation monitoring data,a denoising method combining the adaptive noise complete ensemble empirical mode decomposition(CEEMDAN)and improved wavelet threshold was proposed.This method decomposes the original data using CEEMDAN and performs feature analysis on the intrinsic mode function(IMF)components obtained from the decomposition through t-tests,screening out noisy components.These components were verified using the Pearson correlation coefficient and variance contribution rate.Finally,the identified noise-containing components are finely denoised using an improved wavelet thresholding method,and the denoised IMF components are reconstructed to obtain the denoised data.Simulation tests and engineering case verification results show that this method outperforms three comparative methods across various indicators,while effectively preserving useful high-frequency information,improving accuracy and smoothness,and can be used for denoising nonlinear deformation data in dams.

关 键 词：大坝安全监测 CEEMDAN分解 T检验 改进小波阈值 去噪 精度分析 乌鲁瓦提水库 

分 类 号：TV698.11[水利工程—水利水电工程]