Exploració per autor "Tibaduiza Burgos, Diego Alexander"
Ara es mostren els items 29-40 de 40
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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 ... -
Sensors for structural health monitoring and condition monitoring
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-02-24)
Article
Accés obert -
Structural damage classification in a jacket-type wind-turbine foundation using principal component analysis and extreme gradient boosting
(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
(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 ... -
Structural damage detection using principal component analysis and damage indices
(2015-01-08)
Article
Accés obertOne of the most important tasks in structural health monitoring corresponds to damage detection. In this task, the existence of damage should be determined. In the literature, several potentially useful techniques for ... -
Structural health monitoring and condition monitoring applications: sensing, distributed communication and processing
(SAGE PUBLICATIONS INC, 2020-09-29)
Article
Accés obertStructural health monitoring (SHM) is a wide area of engineering that focuses on the verification of the state or health of structures in order to ensure proper perfor- mance using nondestructive tests, involving sensors ... -
Structural health monitoring based on principal component analysis: damage detection, localization and classification
(2011-02-01)
Capítol de llibre
Accés obert -
Vibration-based detection and classification of structural changes using principal component analysis and t-distributed stochastic neighbor embedding
(Wiley, 2020-03-05)
Article
Accés obertThis paper describes a structural health monitoring strategy to detect and classify structural changes in structures that can be equipped with sensors. The proposed approach is based on the t-distributed stochastic neighbor ...
