Exploració per autor "Anaya Vejar, Maribel"
Ara es mostren els items 1-19 de 19
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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
Accés obertInspection 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 ... -
A machine learning methodology for structural damage classification in structural health monitoring
Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Vitola Oyaga, Jaime (2017)
Text en actes de congrés
Accés restringit per política de l'editorialOne of the goals of structural health monitoring (SHM) applications is to determine the presence and the severity of a damage. In some cases, this is an element to forecast the behaviour and take decisions to allocate ... -
A sensor data fusion system based on k-nearest neighbor pattern classification for structural health monitoring applications
Vitola Oyaga, Jaime; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel (2017-02-21)
Article
Accés obertCivil and military structures are susceptible and vulnerable to damage due to the environmental and operational conditions. Therefore, the implementation of technology to provide robust solutions in damage identification ... -
A sensor fault detection methodology applied to piezoelectric active systems in structural health monitoring applications
Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Forero, Edwin; Castro, Rafael; Pozo Montero, Francesc (Institute of Physics (IOP), 2016)
Article
Accés obert -
A sensor fault detection methodology in piezoelectric active systems used in structural health monitoring applications
Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Forero, Edwin; Castro, Rafael; Pozo Montero, Francesc (Institute of Physics (IOP), 2015)
Comunicació de congrés
Accés obertDamage detection is the basis of the damage identification task in Structural Health Monitoring. A good damage detection process can ensure the adequate work of a SHM System because allows to know early information about ... -
An acousto-ultrasonics pattern recognition approach for damage detection in wind turbine structures
Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Forero, Edwin; Castro, Rafael; Pozo Montero, Francesc (Institute of Electrical and Electronics Engineers (IEEE), 2015)
Comunicació de congrés
Accés obertThe design of a Structural Health Monitoring (SHM) systems is a requirement in the task of improving the safety and maintainability of the structures. Among the multiple techniques available for health monitoring, ... -
Application of manifold learning algorithms to improve the classification performance of an electronic nose
León Medina, Jersson Xavier; Anaya Vejar, Maribel; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander (Institute of Electrical and Electronics Engineers (IEEE), 2019)
Text en actes de congrés
Accés restringit per política de l'editorialThe problem of classification and the use of robust methodologies in electronic nose sensor arrays applications are still open. Among the several steps in the developed method- ologies, it is clear that feature extraction ... -
Artificial immune system (AIS) for damage detection under variable temperature conditions
Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2016)
Comunicació de congrés
Accés obertEarly damage detection remains one of the priorities of the structural health monitoring systems in the task of continuous monitoring. In this kind of systems different approaches can be used, however data-driven systems ... -
Damage classification based on machine learning applications for an unmanned aerial vehicle
Anaya Vejar, Maribel; Ceron, Hernan; Vitola Oyaga, Jaime; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2017)
Comunicació de congrés
Accés restringit per política de l'editorialUnmanned aerial vehicles (UAVs) are well-known by its advantages in several applications such as surveillance and monitoring for instance in agricultural applications or fire control among others. These missions can be ... -
Data classification methodology for electronic noses using uniform manifold approximation and projection and extreme learning machine
León Medina, Jersson Xavier; Parés Mariné, Núria; Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-22)
Article
Accés obertThe classification and use of robust methodologies in sensor array applications of electronic noses (ENs) remain an open problem. Among the several steps used in the developed methodologies, data preprocessing improves the ... -
Data-driven methodologies for structural damage detection based on machine learning applications
Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2016-12)
Capítol de llibre
Accés restringit per política de l'editorialStructural health monitoring (SHM) is an important research area, which interest is the damage identification process. Different information about the state of the structure can be obtained in the process, among them, ... -
Design and validation of structural health monitoring system based on bio-inspired algotithms
Anaya Vejar, Maribel (Universitat Politècnica de Catalunya, 2016-07-15)
Tesi
Accés obertThe need of ensure the proper performance of the structures in service has made of structural health monitoring (SHM) a priority research area. Researchers all around the world have focused efforts on the development of ... -
Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes
Vitola Oyaga, Jaime; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel (2017-05-31)
Article
Accés obertStructural health monitoring (SHM) is a very important area in a wide spectrum of fields and engineering applications. With an SHM system, it is possible to reduce the number of non-necessary inspection tasks, the associated ... -
Manifold learning algorithms applied to structural damage classification
León Medina, Jersson Xavier; Anaya Vejar, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2021-06-05)
Article
Accés obertA comparative study of four manifold learning algorithms was carried out to perform the dimensionality reduction process within a proposed methodology for damage classification in structural health monitoring (SHM). Isomap, ... -
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)
Comunicació de congrés
Accés restringit per política de l'editorialThe 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 ... -
Nonlinear feature extraction through manifold learning in an electronic tongue classification task
Leon-Medina, Jersson Xavier; Anaya Vejar, Maribel; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander (Multidisciplinary Digital Publishing Institute (MDPI), 2020-08-27)
Article
Accés obertA nonlinear feature extraction-based approach using manifold learning algorithms is developed in order to improve the classification accuracy in an electronic tongue sensor array. The developed signal processing methodology ... -
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)
Comunicació de congrés
Accés obertThe 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 damage classification in a jacket-type wind-turbine foundation using principal component analysis and extreme gradient boosting
León Medina, Jersson Xavier; Anaya Vejar, Maribel; Parés Mariné, Núria; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-13)
Article
Accés obertDamage classification is an important topic in the development of structural health monitoring systems. When applied to wind-turbine foundations, it provides information about the state of the structure, helps in maintenance, ... -
Structural damage detection and classification based on machine learning algorithms
Vitola Oyaga, Jaime; Tibaduiza Burgos, Diego Alexander; Anaya Vejar, Maribel; Pozo Montero, Francesc (2016)
Comunicació de congrés
Accés obertStructural Health Monitoring is a growing area of interest given the benefits obtained from its use. This area includes different tasks in the damage identification process, among them, the most important is the damage ...