A Novel Imputation Model for Missing Concrete Dam Monitoring Data

• Published in: Mathematics (Basel) Vol. 11; no. 9; p. 2178
• Main Authors: Cui, Xinran, Gu, Hao, Gu, Chongshi, Cao, Wenhan, Wang, Jiayi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2023
• Subjects: Analysis; Cluster analysis; Clustering; Concrete; concrete dam; Concrete dams; Dam failure; Dam foundations; Dam safety; Dams; Data models; Deformation effects; distance similarity index; Human error; Longitudinal studies; Machine learning; Mathematics; measurement point clustering; Methods; Missing data; missing data imputation; Monitoring; Monitoring systems; Neural networks; panel data model; Similarity; Vector quantization; Weighting methods

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...