Browsing by Author "Torres-Arredondo, Miguel Ángel"
Now showing items 1-4 of 4
-
A damage classification approach for structural health monitoring using machine learning
Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Pozo Montero, Francesc (2018-12-02)
Article
Open AccessInspection strategies with guided wave-based approaches give to structural health monitoring (SHM) applications several advantages, among them, the possibility of the use of real data from the structure which enables ... -
Non-linear damage classification based on machine learning and damage indices
Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Pozo Montero, Francesc (2017)
Conference lecture
Restricted access - publisher's policyThe use of guided wave-based approaches presents some advantages in the structural inspection and damage identification processes. It is driven by the fact that these waves can propagate over relatively long distances and ... -
Principal component analysis and self-organizing maps for damage detection and classification under temperature variations
Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Pozo Montero, Francesc (2015)
Conference lecture
Open AccessThe use of statistical techniques for data driven has proven very useful in multivariable analysis as a pattern recognition approach. Among their multiple advantages such as data reduction, multivariable analysis and the ... -
Structural health monitoring by means of strain field pattern recognition on the basis of PCA and automatic clustering techniques based on SOM
Sierra-Pérez, Julian; Torres-Arredondo, Miguel Ángel; Cabanes, Guénaël; Güemes Gordo, Alfredo; Mujica Delgado, Luis Eduardo (2015)
Conference report
Open Access