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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 ...
A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine
(Wiley-Hindawi, 2018)
[Abstract] One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on ...
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 ...
Sistema híbrido inteligente para la predicción de tensión de una pila de combustible basada en hidrógeno
(Comité Español de Automática, CEA, 2019)
[Resumen]: Por razones de sostenibilidad y estrategia energética, entre otras, existe en la actualidad una tendencia clara hacia el uso de nuevas formas de obtención, almacenamiento y gestión de energía, más eficientes y ...
Hybrid Intelligent Modelling in Renewable Energy Sources-Based Microgrid. A Variable Estimation of the Hydrogen Subsystem Oriented to the Energy Management Strategy
(MDPI, 2020)
[Abstract] This work deals with the prediction of variables for a hydrogen energy storage system integrated into a microgrid. Due to the fact that this kind of system has a nonlinear behaviour, the use of traditional ...
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 ...
Intrusion Detection With Unsupervised Techniques for Network Management Protocols Over Smart Grids
(MDPI AG, 2020-03-27)
[Abstract] The present research work focuses on overcoming cybersecurity problems in the Smart Grid. Smart Grids must have feasible data capture and communications infrastructure to be able to manage the huge amounts of ...
A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques
(MDPI, 2019-06-18)
[Abstract ]:This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy ...
Hybrid Intelligent System to Perform Fault Detection on BIS Sensor During Surgeries
(Multidisciplinary Digital Publishing Institute, 2017)
This paper presents a new fault detection system in hypnotic sensors used for general anesthesia during surgery. Drug infusion during surgery is based on information received from patient monitoring devices; accordingly, ...
A fault detection system based on unsupervised techniques for industrial control loops
(Wiley, 2019-08)
[Abstract] This research describes a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques. The proposed method includes a visual tool for the detection of faults, ...