Exploració per autor "Tibaduiza Burgos, Diego Alexander"
Ara es mostren els items 1-20 de 40
-
A bioinspired methodology based on an artificial immune system for damage detection in structural health monitoring
Anaya, Maribel; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc (2015-01-01)
Article
Accés obertAmong all the aspects that are linked to a structural health monitoring (SHM) system, algorithms, strategies, or methods for damage detection are currently playing an important role in improving the operational reliability ... -
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 ... -
Active piezoelectric system using PCA
Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Güemes Gordo, Alfredo; Rodellar Benedé, José (2010)
Text en actes de congrés
Accés restringit per política de l'editorialIn previous work by the authors, an aircraft turbine blade was used to show that T and Q-statistics formulation based in Principal Components Analysis (PCA) are successful indices to detect and distinguish damages. In ... -
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 ... -
Attention-based deep recurrent neural network to forecast the temperature behavior of an electric arc furnace side-wall
Godoy Rojas, Diego F.; León Medina, Jersson Xavier; Rueda, Bernardo; Vargas, Whilmar; Romero, Juan; Pedraza, Cesar; Pozo Montero, Francesc; Tibaduiza Burgos, Diego Alexander (Multidisciplinary Digital Publishing Institute (MDPI), 2022-02-12)
Article
Accés obertStructural health monitoring (SHM) in an electric arc furnace is performed in several ways. It depends on the kind of element or variable to monitor. For instance, the lining of these furnaces is made of refractory materials ... -
Combined and I indices based on principal component analysis for damage detection and localization
Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011)
Text en actes de congrés
Accés obertIn this paper, two indices (combined or phi index and I index), different to the presented in [1][2][3] are used to detect damages; these indices are calculated from the information obtained from the projection of the ... -
Comparison of several methods for damage localization using indices and contributions based on PCA
Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José (2011-07-19)
Article
Accés restringit per política de l'editorialIn previous works by the authors, it was shown the advantages of applying an active piezoelectric system in combination with Principal Component Analysis and Neural Networks as methodology for damage detection in ... -
Damage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves
Torres-Arredondo, Miguel Angel; Tibaduiza Burgos, Diego Alexander; Mujica Delgado, Luis Eduardo; Rodellar Benedé, José; Fritzen, Claus-Peter (2013)
Text en actes de congrés
Accés obertStructural components made of composite materials are being used more often in aerospace and aeronautic structures due to their well-known properties such as high mass specific stiffness and strength. However, their ... -
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 ... -
Damage identification in structural health monitoring: a brief review from its implementation to the Use of data-driven applications
Tibaduiza Burgos, Diego Alexander; Gomez Vargas, Ricardo C.; Pedraza, Cesar; Agis Cherta, David; Pozo Montero, Francesc (Multidisciplinary Digital Publishing Institute (MDPI), 2020-01-29)
Article
Accés obertThe damage identification process provides relevant information about the current state of a structure under inspection, and it can be approached from two different points of view. The first approach uses data-driven ... -
Damage localization using pattern recognition techniques and statistical dissimilarity analysis
Rodríguez Lozada, Harold S.; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc; León Medina, Jersson Xavier (Destech, 2019)
Text en actes de congrés
Accés obertThe increasing expansion of standards and regulations aimed to guarantee the safe operation of different types of structures and materials ---which are extensively used in buildings, airplanes, transformers, machinery, ... -
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, ... -
Data-driven multiactuator piezoelectric system for structural damage localization
Mujica Delgado, Luis Eduardo; Tibaduiza Burgos, Diego Alexander; Rodellar Benedé, José (2010)
Comunicació de congrés
Accés obertIn initial studies, it has been shown that the combination of Principal Component Analysis (PCA) and the contribution plots of Q and T2-statistics can be considered an efficient technique to detect, distinguish and localize ...