大地测量与地球动力学2026，Vol.46Issue(9)：1088-1094,7.DOI:10.14075/j.jgg.2025.10.351
基于EEMD高频差分转换和GRU算法的大坝变形异常值判定
Determination of Dam Deformation Outliers Based on EEMD High-Frequency Differential Conversion and GRU Algorithm
谢金记 1邵元 1蔡培培 2李俊卓 1韦永江 3刘骥驰2
作者信息
- 1. 广西桂冠电力股份有限公司(红水河)集控中心,南宁,530029
- 2. 杭州华辰电力控制工程有限公司,杭州,311121
- 3. 龙滩水电开发有限公司龙滩水力发电厂,南宁,530029
- 折叠
摘要
Abstract
We propose an outlier detection method for dam deformation based on ensemble empirical mode decomposition(EEMD)high-frequency differential conversion and gated recurrent unit(GRU)analysis.First,the EEMD technology is employed to decompose the original deformation monitoring data,yielding deformation components at different frequencies.Then,high-frequency components containing abnormal deformation information can be extracted for differential sequence conversion,and identification criteria for abnormal single-jump points are proposed.Finally,a high-frequency component time series model is established by GRU neural networks,which is then combined with the abnormal single-jump point identification pattern to recognize outliers.The results show that EE-MD technology and high-frequency sequence differential conversion can effectively isolate deformation anomaly information.The proposed single-jump point detection model aligns with the characteristics of dam deformation anomalies.Combining GRU and the 3cr criterion for time series modeling analysis of differential sequences,all deformation anomalies can be accurately identified,and achieve higher ac-curacy than traditional methods.关键词
大坝变形/异常值/单跳点判定模式/EEMD/差分序列/GRUKey words
dam deformation/outliers/single-jump point determination pattern/EEMD/differential sequence/GRU分类
天文与地球科学引用本文复制引用
谢金记,邵元,蔡培培,李俊卓,韦永江,刘骥驰..基于EEMD高频差分转换和GRU算法的大坝变形异常值判定[J].大地测量与地球动力学,2026,46(9):1088-1094,7.
