Miguel Ángel Torres-Arredondo

Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison

Julián Sierra-Pérez, Miguel Ángel Torres-Arredondo, Alfredo Güemes · Composite Structures · 2015 · 135 citations

Fault Diagnosis, Condition Monitoring, Engineering +6

A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring

Miguel Ángel Torres-Arredondo, José Rodellar, Claus‐Peter Fritzen · Mechanical Systems and Signal Processing · 2013 · 84 citations

Damage Mechanism, Engineering, Data Science +13

A Damage Classification Approach for Structural Health Monitoring Using Machine Learning

Diego Alexander Tibaduiza Burgos, Miguel Ángel Torres-Arredondo, Jaime Vitola et al. · Complexity · 2018 · 63 citations · Full text

Engineering, Machine Learning, Well Diagnostics +21

Data-driven multivariate algorithms for damage detection and identification: Evaluation and comparison

Miguel Ángel Torres-Arredondo, Diego Alexander Tibaduiza Burgos, Luis Eduardo Mújica Delgado et al. · Structural Health Monitoring · 2013 · 40 citations

Engineering, Structural Dynamics, Mechanical Engineering +21

Data-driven methodology to detect and classify structural changes under temperature variations

Maribel Anaya, Diego Alexander Tibaduiza Burgos, Miguel Ángel Torres-Arredondo et al. · Smart Materials and Structures · 2014 · 31 citations

Engineering, Data-driven Methodology, Mechanical Engineering +22