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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 ...
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 ...
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 ...
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 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, ...
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 ...
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections
(Elsevier, 2020-08-19)
[Abstract] The implementation of anomaly detection systems represents a key problem that has been focusing the efforts of scientific community. In this context, the use one-class techniques to model a training set of ...
Electromyogram prediction during anesthesia by using a hybrid intelligent model
(Springer Nature, 2019-08-23)
[Abstract] In the search for new and more efficient ways to administer drugs, clinicians are turning to engineering tools. The availability of these models to predict physiological variables are a significant factor. A ...
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 ...
Fuel Cell Output Current Prediction with a Hybrid Intelligent System
(Wiley-Hindawi, 2019)
[Abstract] A fuel cell is a complex system, which produces electricity through an electrochemical reaction. For the formal application of control strategies on a fuel cell, it is very important to have a precise dynamic ...