水力发电学报2024，Vol.43Issue(3)：94-107,14.DOI:10.11660/slfdxb.20240309
基于面板数据模型的拱坝缺失数据填补方法
Panel data model-based method to fill in missing data for arch dams
摘要
Abstract
Concrete arch dams,as important hydraulic structures,frequently have missing measurement data due to monitoring equipment failures,human factors and other influences,which may reduce the effectiveness and accuracy of dam safety assessment and prediction.Previous methods mostly rely on single-point interpolation,neglecting the correlation and heterogeneity between measurement points.This paper develops a new method for interpolating the missing deformation data based on a panel data model.First,the incremental speed index of traditional deformation similarity is improved to solve the problem that its denominator may be equal to zero.Then,a combined weighting method is formulated to calculate a composite deformation similarity indicator,and an improved density-based clustering method is used to categorize the deformation monitoring points.Next,a panel model is developed to fill in the missing data in different intervals of the data sequence.This new method fills in the missing monitored deformation data of concrete arch dams more accurately,and thus can effectively solve the missing data problem.关键词
缺失数据填补/变形相似性指标/聚类方法/面板数据模型/混凝土拱坝Key words
missing data imputation/deformation similarity index/clustering method/panel data model/concrete arch dams分类
水利科学引用本文复制引用
崔欣然,石立,陆希,顾昊,吴艳,朱明远..基于面板数据模型的拱坝缺失数据填补方法[J].水力发电学报,2024,43(3):94-107,14.基金项目
国家自然科学基金(52379122) （52379122）
河海大学中央高校基本科研业务费项目(B230201011) （B230201011）
新疆维吾尔自治区水利科技专项(XSKJ-2023-23) （XSKJ-2023-23）
