An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation

Xiao, Sheng; Cheng, Lin; Ma, Chunhui; Yang, Jie; Xu, Xiaoyan; Chen, Jiamin

doi:10.1007/s13349-023-00752-y

J Civil Struct Health Monit

2024

DOI: 10.1007/s13349-023-00752-y

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An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation

Sheng Xiao,

Lin Cheng,

Chunhui Ma

et al.

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An adaptive identification method for outliers in dam deformation monitoring data based on Bayesian model selection and least trimmed squares estimation

Cited by 4 publications

References 40 publications

Rapid postearthquake modelling method for deformation monitoring models of high arch dams based on metalearning and graph attention

Rapid postearthquake modelling method for deformation monitoring models of high arch dams based on metalearning and graph attention

Data-driven deformation prediction model for super high arch dams based on a hybrid deep learning approach and feature selection

From data processing to behavior monitoring: A comprehensive overview of dam health monitoring technology

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