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A missing data processing method for dam deformation monitoring data using spatiotemporal clustering and support vector machine model

Yan-tao Zhu Chong-shi Gu Mihai A.Diaconeasa

水科学与水工程Issue(4)：417-424,8.

水科学与水工程Issue(4)：417-424,8.DOI:10.1016/j.wse.2024.08.003

A missing data processing method for dam deformation monitoring data using spatiotemporal clustering and support vector machine model

Yan-tao Zhu ¹Chong-shi Gu ¹Mihai A.Diaconeasa²

作者信息

1. The National Key Laboratory of Water Disaster Prevention,Hohai University,Nanjing 210098,China||College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,China
2. School of Engineering,North Carolina State University,Raleigh,NC 27695,USA
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摘要

关键词

Missing data recovery/Concrete dam/Deformation monitoring/Spatiotemporal clustering/Support vector machine model

Key words

Missing data recovery/Concrete dam/Deformation monitoring/Spatiotemporal clustering/Support vector machine model

引用本文复制引用

Yan-tao Zhu,Chong-shi Gu,Mihai A.Diaconeasa..A missing data processing method for dam deformation monitoring data using spatiotemporal clustering and support vector machine model[J].水科学与水工程,2024,(4):417-424,8.

基金项目

This work was supported by the National Key R&D Program of China(Grant No.2022YFC3005401),the Fundamental Research Funds for the Central Universities(Grant No.B230201013),the National Natural Science Foundation of China(Grants No.52309152,U2243223,and U23B20150),the Natural Science Foundation of Jiangsu Province(Grant No.BK20220978),and the Open Fund of National Dam Safety Research Center(Grant No.CX2023B03). （Grant No.2022YFC3005401）

水科学与水工程

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ISSN：1674-2370

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