Browsing by Author "Moreno Beltran, Gustavo Adolfo"
Now showing items 1-5 of 5
-
Damages detection in cylindrical metallic specimens by means of statistical baseline models and updated daily temperature profiles
(Institute of Physics (IOP), 2017)
Article
Open AccessIn previous works, damage detection of metallic specimens exposed to temperature changes has been achieved by using a statistical baseline model based on Principal Component Analysis (PCA), piezodiagnostics principle and ... -
Ensemble learning as approach for pipeline condition assessment
(Ghent University, 2017)
Conference report
Open AccessThe algorithms commonly used for damage condition monitoring present several drawbacks related to unbalanced data, optimal training requirements, low capability to manage feature diversity and low tolerance to errors. In ... -
Ensemble learning as approach for pipeline condition assessment
(Institute of Physics (IOP), 2017)
Article
Open AccessThe algorithms commonly used for damage condition monitoring present several drawbacks related to unbalanced data, optimal training requirements, low capability to manage feature diversity and low tolerance to errors. In ... -
Structural damage continuous monitoring by using a data driven approach based on principal component analysis and cross-correlation analysis
(Institute of Physics (IOP), 2017)
Article
Open AccessContinuous monitoring for damage detection in structural assessment comprises implementation of low cost equipment and efficient algorithms. This work describes the stages involved in the design of a methodology with high ... -
Structural damage localization through an innovative hybrid ensemble approach
(Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE), 2017)
Conference report
Restricted access - publisher's policyDamage localization in structures can be achieved by using an appropriate data interpretation algorithm based on the expected structural response. According to the several algorithms reported in literature, a different ...
