M.-A. Torres-Arredondo
- Signal-based nonlinear modelling for damage assessment under variable temperature conditions by means of acousto-ultrasonics. In: Structural Control and Health Monitoring, v. 22, n. 8 (August 2015). (2015):
- Damage detection methodology under variable load conditions based on strain field pattern recognition using FBGs, nonlinear principal component analysis, and clustering techniques. In: Smart Materials and Structures, v. 27, n. 1 (Januar 2018). (2018):
- An optimal baseline selection methodology for data-driven damage detection and temperature compensation in acousto-ultrasonics. In: Smart Materials and Structures, v. 25, n. 5 (Mai 2016). (2016):
- Multivariate data-driven modelling and pattern recognition for damage detection and identification for acoustic emission and acousto-ultrasonics. In: Smart Materials and Structures, v. 22, n. 10 (Oktober 2013). (2013):