Exploració per autor "Tibaduiza Burgos, Diego Alexander"
Ara es mostren els items 14-33 de 40
-
Damage assessment in a stiffened composite panel using non-linear data-driven modelling and ultrasonic guided waves
(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
(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
(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
(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
(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
(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
(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 ... -
Design and validation of a structural health monitoring system for aeronautical structures.
(Universitat Politècnica de Catalunya, 2013-01-18)
Tesi
Accés obertStructural Health Monitoring (SHM) is an area where the main objective is the verification of the state or the health of the structures in order to ensure proper performance and maintenance cost savings using a sensor ... -
Detection and classification of structural changes using artificial immune systems and fuzzy clustering
(2017-01-01)
Article
Accés restringit per política de l'editorialAmong all the elements that are integrated into a structural health monitoring (SHM) system, methods or strategies for damage detection and classification are nowadays playing a key role in enhancing the operational ... -
Distributed piezoelectric sensor system for damage identification in structures subjected to temperature changes
(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 ... -
Ensemble of feature extraction methods to improve the structural damage classification in a wind turbine foundation
(Polish Academy of Sciences, 2023-03-21)
Article
Accés obertThe condition monitoring of offshore wind power plants is an important topic that remains open. This monitoring search to lower the maintenance cost of these plants. One of the main components of the wind power plant is ... -
Ensemble of feature extraction methods to improve the structural damage classification in a wind turbine foundation
(Polish Academy of Sciences, 2022)
Text en actes de congrés
Accés restringit per política de l'editorialThe condition monitoring of offshore wind power plants is an important topic that remains open. This monitoring search to lower the maintenance cost of this plants. One of the main components of the wind power plant is the ... -
Imbalanced multi-class classification of structural damage in a wind turbine foundation
(Springer, 2022)
Text en actes de congrés
Accés restringit per política de l'editorialDamage diagnosis for offshore wind turbine foundations is a topic that remains open in the scientific community due to the importance of increasing safety and ensuring functionality. To deal with the challenge of online ... -
Implementación de un control fuzzy para el control cinemático directo en un robot manipulador
(2012-12)
Article
Accés obertEn este artículo se muestra el desarrollo e implementación de la lógica difusa como herramienta de control de posición para cada una de las articulaciones de un robot tipo PUMA. Se hace una descripción general del robot ... -
Manifold learning algorithms applied to structural damage classification
(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, ... -
New electronic tongue sensor array system for accurate liquor beverage classification
(2023-07-01)
Article
Accés obertThe use of sensors in different applications to improve the monitoring of a process and its variables is required as it enables information to be obtained directly from the process by ensuring its quality. This is now ... -
Non-linear damage classification based on machine learning and damage indices
(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
(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
(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 ... -
Principal component analysis vs. independent component analysis for damage detection
(2013)
Text en actes de congrés
Accés obertIn previous works, the authors showed advantages and drawbacks of the use of PCA and ICA by separately. In this paper, a comparison of results in the application of these methodologies is presented. Both of them exploit ...
