A data enhancement-based quadratic imputation framework for consecutive missing values considering spatiotemporal characteristics of dam deformation

High-quality prototype observations are the basis for a comprehensive analysis of dam structural behavior. However, missing values, especially consecutive missing values (CMVs), are a major barrier. This paper innovatively proposes the concepts of data enhancement (DE) and quadratic imputation (QI)...

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Veröffentlicht in:	Journal of civil structural health monitoring 2024-02, Vol.14 (2), p.431-447
Hauptverfasser:	Cao, Enhua, Bao, Tengfei, Liu, Yongtao, Li, Hui, Yuan, Rongyao, Hu, Shaopei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Civil Engineering Control Deformation Dynamical Systems Engineering Machine learning Measurement Science and Instrumentation Original Paper Vibration
Online-Zugang:	Volltext
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