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Now showing items 1-10 of 14
Intelligent Model for Power Cells State of Charge Forecasting in EV
(MDPI, 2022-07-19)
[Abstract] In electric vehicles and mobile electronic devices, batteries are one of the most critical components. They work by using electrochemical reactions that have been thoroughly investigated to identify their behavior ...
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 ...
Metodología de reducción del tiempo de ajuste de controladores PID autoajustables basado en hiperesferas
(Universidad de León, 2022-06)
[Resumen] Hoy en día, los controladores adaptativos son ampliamente utilizados en el control de una gran variedad de procesos industriales.
En ese tipo de controladores destacan los reguladores PIDs autoajustables, por ...
A novel method for anomaly detection using beta Hebbian learning and principal component analysis
(Oxford University Press, 2023-04)
[Abstract] In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, ...
Intelligent model for active power prediction of a small wind turbine
(Oxford University Press, 2023-08)
[Abstract] In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the ...
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
(Oxford University Press, 2024)
[Abstract] The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time ...
Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case study
(MDPI, 2022-01-30)
[Abstarct] The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the ...
A one-class classifier based on a hybrid topology to detect faults in power cells
(Oxford University Press, 2022-08-01)
[Abstract]: The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation ...
Gasificación de biomasa
(Universidad de Guayaquil, 2023-12-23)
[Resumen]: La gasificación de biomasa es un proceso termoquímico que convierte materia orgánica en un gas de síntesis, útil en calderas o motores. Este gas contiene monóxido de carbono, hidrógeno, dióxido de carbono, metano, ...
