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|Title:||Bayesian Estimation in Dam Monitoring Networks|
|Authors:||Casaca, J. M.|
Mateus, P. B.
Coelho, J. I.
|Keywords:||Bayes estimator;Hyper-parameter;Parametric elicitation|
|Publisher:||David Publishing Company|
|Abstract:||Summary: A Bayesian estimator with informative prior distributions (a multi-normal and an inverted gamma distribution), adequate to displacement estimation at dam monitoring net-works, is presented. The hyper-parameters of the prior distributions are obtained by Bayesian empirical methods with non-informative priors. The performances of the Bayes estimator and the classical generalized lest squares estimator are compared using two measurements of the horizontal monitoring network of a concrete gravity dam: the Penha Garcia dam (Portugal). In order to test the robustness of the two estimators, gross errors are added to one of the measured horizontal directions: the Bayes estimator proves to be significantly more robust than the generalized least squares estimator.|
|Appears in Collections:||DBB/NGA - Comunicações a congressos e artigos de revista|
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