A Novel Imputation Model for Missing Concrete Dam Monitoring Data

Xinran Cui, Hao Gu (), Chongshi Gu, Wenhan Cao and Jiayi Wang
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Xinran Cui: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Hao Gu: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Chongshi Gu: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Wenhan Cao: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Jiayi Wang: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China

Mathematics, 2023, vol. 11, issue 9, 1-24

Abstract: To ensure the safety of concrete dams, a large number of monitoring instruments are embedded in the bodies and foundations of the dams. However, monitoring data are often missing due to failure of monitoring equipment, human error and other factors that cause difficulties in diagnosis of dam safety and failure to precisely predict their deformation. In this paper, a new method for imputing missing deformation data is proposed. First, since the traditional deformation increment speed distance index of the deformation similarity index does not take into account the fact that there is little change in deformations occurring in two consecutive days, the denominator of the index tends to be equal to zero. In this paper, an improved index for solving this problem is proposed. A combined weighting method for calculating the deformation similarity comprehensive index and the k -means clustering method is then proposed and used to classify deformation monitoring points. Subsequently, a panel data model that imputes different types of missing data is established. The method proposed in this paper can impute missing concrete dam deformation data more accurately; therefore, it can effectively solve the missing deformation monitoring data problem.

Keywords: missing data imputation; distance similarity index; measurement point clustering; panel data model; concrete dam (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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