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Now showing items 31-37 of 37
Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador
(Universitat Politècnica de València, 2020)
[Resumen] Los avances tecnológicos en general, y en el ámbito de la industria en particular, conllevan el desarrollo y optimización de las actividades que en ella tienen lugar. Para alcanzar este objetivo, resulta de vital ...
Experiencia blended learning apoyada en un laboratorio virtual para educación de materias STEM
(Sociedad Española de Pedagogía, 2022-12)
[Resumen] INTRODUCCIÓN. La reciente pandemia provocada por la COVID-19 ha supuesto numerosos cambios en los protocolos de salud pública, así como un profundo impacto socioeconómico. Políticas como el distanciamiento social ...
Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning
(Oxford University Press, 2022-12)
[Abstract] Detecting intrusions in large networks is a highly demanding task. In order to reduce the computation demand of analysing every single packet travelling along one of such networks, some years ago flows were ...
Virtual Sensor for Fault Detection, Isolation and Data Recovery for Bicomponent Mixing Machine Monitoring
(Vilnius University, 2019)
[Abstract] The present research shows the implementation of a virtual sensor for fault detection with the feature of recovering data. The proposal was implemented over a bicomponent mixing machine used for the wind generator ...
A distributed topology for identifying anomalies in an industrial environment
(Springer, 2022)
[Abstract] The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following ...
Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach
(Oxford University Press, 2024-05-09)
[Abstract] Batteries are a fundamental storage component due to its various applications in mobility, renewable energies and consumer electronics among others. Regardless of the battery typology, one key variable from a ...
A hybrid one-class approach for detecting anomalies in industrial systems
(John Wiley & Sons Ltd, 2022-03-08)
[Abstract]: The significant advance of Internet of Things in industrial environments has provided the possibility of monitoring the different variables that come into play in an industrial process. This circumstance allows ...
