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A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer

Fernández Blanco, Juan Carlos; Corrales Barrios, Luis Benigno; Hernández González, Félix Herminio; Benitez Pina, Israel Francisco; Núñez Alvarez, José Ricardo (Corporación Universidad de la Costa, 2021)

For the safety and continuity of service in industrial electrical systems, the availability of transformers is essential. For this reason, it is necessary to develop intelligent fault diagnosis techniques to reduce repair ...
A new methodology incorporating public participation within Cuba's ICZM program

Milanés Batista, Celene; Abelardo Planas, José; Pelot, Ronald; Núñez Alvarez, José Ricardo (Universidad de la Costa, 2020-01-20)

Although public participation (PP) has influenced some integrated coastal zone management (ICZM) programs around the world, researchers have rarely analyzed this component specifically inside an ICZM cycle. Furthermore, ...
Empleo del software Sunny Design Web con vistas a dimensionar el sistema conectado a Red en la Universidad Técnica de Manabí

Intriago, María G; Llosas, Yolanda E; Balderramo, Ney R; Pico, Gabriel E; Núñez Alvarez, José Ricardo (Corporación Universidad de la Costa, 2020)

La energía eléctrica generada a partir de fuentes de energía renovables presenta la ventaja de brindar una autosuficiencia que no solo conduce a una mejora del medio ambiente sino también incrementa la rentabilidad de una ...
Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-Grid System Using HOMER Pro®: A Case Study in Colombia

Barrozo Budes, Farid Antonio; Valencia Ochoa, Guillermo; Obregon, Luis Guillermo; Arango-Manrique, Adriana; Núñez Alvarez, José Ricardo (Energies, 2020-04-02)

The electrical sector in the Caribbean region of Colombia is currently facing problems that affect its reliability. Many thermo-electric plants are required to fill the gap and ensure energy supply. This paper thus proposes ...
Guías de laboratorios de transformadores y motores de corriente continua

Castro Charris, Narciso Antonio; NORIEGA ANGARITA, ELIANA MARIA; Núñez Alvarez, José Ricardo (Corporación Universidad de la Costa, 2021)

La experiencia docente en la asignatura de Máquinas Eléctricas durante varios años, ha motivado a los autores a emprender la tarea de escribir una guía de laboratorios de transformadores y motores de corriente continua, ...
Human machine interface (HMI) based on a multi-agent system in a water purification plant

Mendoza Merchán, Eduardo Vicente; Andramuño, Joselyne; Núñez Alvarez, José Ricardo; Córdova Rivadeneira, Luis (Corporación Universidad de la Costa, 2021)

The applications of multi-agent systems (MAS) are growing increasingly in the industrial field due to the advantages inherent to their characteristics and properties, the use of distributed automation architectures, which ...
La informática y la gestión integrada de los sistemas de alertas tempranas dentro del manejo integrado de zonas costeras

Cid Nacer, José Ramón; Milanés Batista, Celene; Pinto Osorio, Diana; Núñez Alvarez, José Ricardo (Corporación Universidad de la Costa, 2019)

El Capítulo presenta el desarrollo de un sistema informático capaz de mantener informada de forma eficaz a los tomadores de decisiones, y a la población en general, mediante el uso de un sistema de alertas por amenazas ...
Intelligent multi-agent architecture for a supervisor of a water treatment plant

Mendoza Merchán, Eduardo Vicente; Andramuño, Joselyne; Núñez Alvarez, José Ricardo; Córdova Rivadeneira, Luis (Corporación Universidad de la Costa, 2021)

The rapid development of Information and Communication Technologies (ICT) and high-capacity hardware components make it necessary to achieve a strong integration of automatic systems based on new paradigms on intelligent ...
Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red

Núñez Alvarez, José Ricardo; Benítez P., Israel F; Proenza Y., Roger; Vázquez S., Luis; Díaz M., David (2019)

The aim of the present research work is the design of a methodology of fault diagnosis as a contribution to the improvement of indicators about efficiency, maintenance and availability of Photovoltaic Systems of Network ...
Monte Carlo dropout for uncertainty estimation and motor imagery classification

milanés hermosilla, daily; Trujillo Codorniú, Rafael; López-Baracaldo, René; Sagaro Zamora, Roberto; Delisle-Rodriguez, Denis; Villarejo Mayor, John Jairo; Núñez Alvarez, José Ricardo (Corporación Universidad de la Costa, 2021-10-30)

Motor Imagery (MI)-based Brain–Computer Interfaces (BCIs) have been widely used as an alternative communication channel to patients with severe motor disabilities, achieving high classification accuracy through machine ...
Network of multi-hop wireless sensors for low cost and extended area home automation systems

Mendoza Merchán, Eduardo Vicente; Benitez Pina, Israel Francisco; Núñez Alvarez, José Ricardo (Corporación Universidad de la Costa, 2020-05)

Las redes de sensores inalámbricos disponen de un campo muy amplio de aplicaciones y aún muchos desafíos pendientes, especialmente aquellos relacionados con la evolución de la electrónica digital, ancho de banda, reducción ...
Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida

Rodríguez Merchán, Eduardo; Fuentes Espinoza, Pablo Gustavo; Benítez Pina, Israel Francisco; Reina Tabares, Danner; Núñez Alvarez, José Ricardo (Revista Iberoamericana de Automatica e Informatica Industrial, 2017)

Wireless sensor networks have a wide range of applications and many pending challenges, especially those related to the evolution of digital electronics, bandwidth, reduction of implementation costs, network coverage and ...
Shallow convolutional network excel for classifying motor imagery EEG in BCI applications

milanés hermosilla, daily; Trujillo Codorniú, Rafael; López Baracaldo, René; Sagaro Zamora, Roberto; Delisle-Rodriguez, Denis; Llosas Albuerne, Yolanda; Núñez Alvarez, José Ricardo (IEEE Xplore, 2021)

Many studies applying Brain-Computer Interfaces (BCIs) based on Motor Imagery (MI) tasks for rehabilitation have demonstrated the important role of detecting the Event-Related Desynchronization (ERD) to recognize the user’s ...
Speed control in DC and AC drives

Beltrán Aguedo, Reinel; Lussón Cervantes, Ania; Núñez Alvarez, José Ricardo; Llosas Albuerne, Yolanda (Corporación Universidad de la Costa, 2021)

Three speed-control strategies for DC and AC drives are presented in this study: a proportional integral derivative (PID) control strategy; an internal model control (IMC); and a state-space control by pole assignment with ...
Tools for the implementation of a SCADA system in a desalination process

Núñez Alvarez, José Ricardo; Benitez Pina, Israel Francisco; DIAZ PEREZ, SERGIO DAVID; Rodríguez Martínez, Alberto; Oliveira, Djonathan (Universidad de la Costa, 2019-12-17)

In this work a system is designed and implemented in SCADA MOVICON 11.5, in which the operation of five seawater desalination lines by reverse osmosis which work in parallel, with four coastal wells and ...

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A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer
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Fernández Blanco, Juan Carlos | 2021

For the safety and continuity of service in industrial electrical systems, the availability of transformers is essential. For this reason, it is necessary to develop intelligent fault diagnosis techniques to reduce repair and maintenance costs. Recently, several methods have been developed that use artificial intelligence techniques such as neural networks, support vector machines, hybrid techniques, etc., for the diagnosis of faults in power transformers using gas analysis. These methods, although they present very good results, encounter restrictions to determine the precise moment before the occurrence of multiple fault of small magnitude and are difficult to implement in practice. This document proposes a method to diagnose multiple incipient faults in a power transformer using fuzzy logic. The proposal, based on historical data from the composition of the gases dissolved in the oil, achieves a performance in the classification of multiple incipient fault of 98.3%. With reliable samples of dissolved gas, it guarantees an overall rate of accuracy in detecting incipient faults that is superior to that obtained by the most successful conventional methods in the industry. The proposal does not encounter generalization difficulties and constitutes a simple solution that allows determining the state of the transformer in service without affecting the continuity of the electricity supply.

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A new methodology incorporating public participation within Cuba's ICZM program
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Milanés Batista, Celene | 2020-01-20

Although public participation (PP) has influenced some integrated coastal zone management (ICZM) programs around the world, researchers have rarely analyzed this component specifically inside an ICZM cycle. Furthermore, the approach for integrating environmental energy planning tools within the ICZM Programs for the Small Island Developing States (SIDS) has presented an ongoing challenge for specialists involved in management issues. In Cuba, plans for coastal development are supported by land use planning activities and environmental planning tools. However, the functions and outputs of those tools are “non-obvious”, precluding sufficient integration among them. As these aforementioned actions have not been systematically carried out in the Cuban territory, and the systems of inter-institutional relationships with local communities have presented some insufficiencies, the national marine-terrestrial interphase has suffered some negative environmental impacts impossible to be solved by the national authorities. Designing a new methodology that incorporates PP and environmental energy planning tools in the stages of an ICZM program is the objective of this article. The methodology was named MePuPa and has improved current tools for land use planning and ICZM in Cuba. Previously selected “Local Indicators of Environmental Sustainability”, applied in two geo-systemic units in the southeastern region of Cuba, were used to demonstrate the methodology. The qualitative and qualitative methods in the proposed MePuPa were also applied. Finally, the MePuPa methodology was tested for four of its five stages. Six advantages and five learned lessons were identified during the Preparation to Proposal stages. MePuPa resulted in a useful local management tool for environmental energy planning, ICZM, economic and agricultural activities, strategic ecosystems recovery, as well as improvements to the governance and decision-making processes in one SIDS.

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Empleo del software Sunny Design Web con vistas a dimensionar el sistema conectado a Red en la Universidad Técnica de Manabí
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Intriago, María G | 2020

La energía eléctrica generada a partir de fuentes de energía renovables presenta la ventaja de brindar una autosuficiencia que no solo conduce a una mejora del medio ambiente sino también incrementa la rentabilidad de una instalación. Siendo conscientes de estas ventajas, este trabajo investigativo se orientó al estudio energético y económico de un proyecto que, a partir de fuentes renovables de energía en el esquema de generación distribuida, es decir se realizó el dimensionamiento de una Unidad de Producción de Autoconsumo (UPAC) para la Universidad Técnica de Manabí (UTM). Además, se realizó una evaluación energética para encontrar oportunidades de racionalización de consumos de energía; como caso práctico el sistema de iluminación pública del campus universitario. En este caso específico se realiza el análisis con el empleo del software Sunny Design Web, brindándose los resultados alcanzados.

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Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-Grid System Using HOMER Pro®: A Case Study in Colombia
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Barrozo Budes, Farid Antonio | 2020-04-02

The electrical sector in the Caribbean region of Colombia is currently facing problems that affect its reliability. Many thermo-electric plants are required to fill the gap and ensure energy supply. This paper thus proposes a hybrid renewable energy generation plant that could supply a percentage of the total energy demand and reduce the environmental impact of conventional energy generation. The hybrid plant works with a photovoltaic (PV) system and wind turbine systems, connected in parallel with the grid to supply a renewable fraction of the total energy demand. The investigation was conducted in three steps: the first stage determined locations where the energy system was able to take advantage of renewable sources, the second identified a location that could work more efficiently from an economic perspective, and finally, the third step estimated the number of PV solar panels and wind turbines required to guarantee optimal functioning for this location using, as a main method of calculation, the software HOMER pro® for hybrid optimization with multiple energy resources. The proposed system is expected to not only limit environmental impacts but also decrease total costs of electric grid consumption from thermoelectric plants. The simulations helped identify Puerto Bolivar, Colombia, as the location where the hybrid plant made the best use of non-conventional resources of energy. However, Rancho Grande was found to offer the system more efficiency, while generating a considerable amount of energy at the lowest possible cost. An optimal combination was also obtained—441 PV arrays and 3 wind turbines, resulting in a net present cost (NPC) of $11.8 million and low CO2 production of 244.1 tons per year.

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Guías de laboratorios de transformadores y motores de corriente continua
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Castro Charris, Narciso Antonio | 2021

La experiencia docente en la asignatura de Máquinas Eléctricas durante varios años, ha motivado a los autores a emprender la tarea de escribir una guía de laboratorios de transformadores y motores de corriente continua, contenidos que se imparten en la asignatura de Máquinas Eléctricas 1, con el propósito de aportar a los alumnos del programa de Ingeniería Eléctrica de la Universidad de la Costa un direccionamiento clave para el desarrollo de la asignatura. Los temas se presentan de una manera resumida con la intencionalidad de lograr una fácil y rápida comprensión de los mismos. Se desarrollan de acuerdo al contenido programático de la asignatura de Máquinas Eléctricas 1, haciendo énfasis en los conceptos básicos que deben conocer los estudiantes El objetivo principal de este texto es que sirva como material de estudio y de consulta para nuestros estudiantes en su etapa de formación como futuros profesionales y esperamos sea bien recibido por parte de la comunidad estudiantil universitaria.

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Human machine interface (HMI) based on a multi-agent system in a water purification plant
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Mendoza Merchán, Eduardo Vicente | 2021

The applications of multi-agent systems (MAS) are growing increasingly in the industrial field due to the advantages inherent to their characteristics and properties, the use of distributed automation architectures, which have satisfactorily solved control problems that its complexity and dynamic behavior have not been properly resolved with other approaches under these conditions, intelligent agents must meet the requirements of current automation systems, such as autonomy, flexibility, reconfiguration, in concurrent and collaborative systems, which traditionally do not have been designed to satisfy these characteristics. In the present work, a distributed architecture is proposed for the design of an intelligent agent in a Human-Machine Interface (HMI) for the supervision of the filtering stage of a water purification plant, characterized by the ability to collaborate with the other agents that make up the entire plant. For the projection and design of the system, the Unified Modeling Language (UML) and Petri nets (PN) are used for the simulation and validation of the system, and the implementation of the agent from macros in C language, starting from a methodology of multi-agent design that is applied in this document. The implementation of the intelligent agent in an HMI associated with multi-agent architecture, which allowed to evaluate its behavior through the analysis of the properties of the PN and experimental tests, demonstrating the correct operation of the device, response times and its dynamic behavior based on of the functional requirements of the water purification plant and comparisons with similar works.

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La informática y la gestión integrada de los sistemas de alertas tempranas dentro del manejo integrado de zonas costeras
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Cid Nacer, José Ramón | 2019

El Capítulo presenta el desarrollo de un sistema informático capaz de mantener informada de forma eficaz a los tomadores de decisiones, y a la población en general, mediante el uso de un sistema de alertas por amenazas meteorológicas extremas. Para su diseño se realizó una investigación sobre los Sistemas de Alertas Tempranas (SAT) e instituciones de vigilancia de estos eventos en Cuba, así como, sobre la estructura del funcionamiento, descripción conceptual y formas de articulación de las tecnologías de la información. Se demostraron además los vínculos existentes entre los SAT y los programas de Manejo Integrado de Zonas Costeras (MIZC). Como resultado principal del capítulo se desarrolla una herramienta informática web que integra y visualiza múltiples alertas tempranas ante fenómenos climáticos extremos de corta y prolongada duración, contribuyendo a una adecuada gestión en la reducción del riesgo de desastres. Índice 145 Para la Gestión Integrada de Sistemas de Alertas Tempranas (GISAT) se utilizan softwares libres. En el capítulo se describen las tecnologías Web, el vocabulario y soportes necesarios para el desarrollo de dicha herramienta, concluyendo que el mismo permite gestionar, visualizar, y enviar las distintas Alertas Tempranas a las diferentes instituciones municipales, provinciales y nacionales ante casos de eventos extremos. El GISAT, único en el país, se valida en la provincia de Santiago de Cuba. Su implementación potencia el monitoreo de fenómenos de larga duración como pueden ser sequías meteorológicas e hidrológicas, incendios forestales, entre otros fenómenos que conllevan a largos períodos de vigilancia y medidas constantes de adaptación y mitigación.

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Intelligent multi-agent architecture for a supervisor of a water treatment plant
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Mendoza Merchán, Eduardo Vicente | 2021

The rapid development of Information and Communication Technologies (ICT) and high-capacity hardware components make it necessary to achieve a strong integration of automatic systems based on new paradigms on intelligent distributed architectures, where require highly complex supervision and control tasks, due to the generated requirements of the new production systems, the high number of variables to control and the advancement of technologies, especially in industries where continuous processes have been established. In the present work, a distributed hierarchical modular architecture is proposed for a supervision system, based on multi-agent systems (MAS), oriented to the management of processes in the filtration stage of a water purification plant, using a methodology to the implementation of intelligent agents that allow to project, design, verify and validate the system. This methodology is fundamentally based on the use of the Unified Modeling Language (UML) for its projection and Petri nets (PN) for the simulation and validation of properties, which allows to guarantee the modularity, flexibility, and robustness of the proposed system. The architectures of the intelligent agents in the different programmable devices are modeled and simulated to achieve an adequate interaction and collaboration, allowing to reduce the conflicts that may be generated between them. The evaluation of the distributed architecture focuses on the fulfillment of the functional requirements and evaluation metrics, which, through the analysis of the properties of the Petri net, allows to determine the correct operation of the system and its dynamic behavior in the face of unforeseen situations at different levels of automation.

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Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red
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Núñez Alvarez, José Ricardo | 2019

The aim of the present research work is the design of a methodology of fault diagnosis as a contribution to the improvement of indicators about efficiency, maintenance and availability of Photovoltaic Systems of Network Connection (PVSNC). The network connection inverter and the mathematical model of the Photovoltaic Generator were firstly analyzed. Afterwards, the existing operational losses of the Photovoltaic Generator were quantified, and the mathematical model was adapted to the real conditions of the System through a polynomial adjustment. A real network connection system of nominal power 7.5 kWp installed at the Research Center of Solar Energy, in the province of Santiago de Cuba, was used to assess the proposed methodology. The results obtained were validated to show that the proposed design successfully supervises the PVSNC.100% of the simulated faults were detected and identified with the designed methodology, whose usefulness was additionally shown when having a maximum rate of 0.22% of false alarm in all the tests done.

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Monte Carlo dropout for uncertainty estimation and motor imagery classification
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milanés hermosilla, daily | 2021-10-30

Motor Imagery (MI)-based Brain–Computer Interfaces (BCIs) have been widely used as an alternative communication channel to patients with severe motor disabilities, achieving high classification accuracy through machine learning techniques. Recently, deep learning techniques have spotlighted the state-of-the-art of MI-based BCIs. These techniques still lack strategies to quantify predictive uncertainty and may produce overconfident predictions. In this work, methods to enhance the performance of existing MI-based BCIs are proposed in order to obtain a more reliable system for real application scenarios. First, the Monte Carlo dropout (MCD) method is proposed on MI deep neural models to improve classification and provide uncertainty estimation. This approach was implemented using Shallow Convolutional Neural Network (SCNN-MCD) and with an ensemble model (E-SCNN-MCD). As another contribution, to discriminate MI task predictions of high uncertainty, a threshold approach is introduced and tested for both SCNN-MCD and E-SCNN-MCD approaches. The BCI Competition IV Databases 2a and 2b were used to evaluate the proposed methods for both subject-specific and non-subject-specific strategies, obtaining encouraging results for MI recognition.

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Network of multi-hop wireless sensors for low cost and extended area home automation systems
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Mendoza Merchán, Eduardo Vicente | 2020-05

Las redes de sensores inalámbricos disponen de un campo muy amplio de aplicaciones y aún muchos desafíos pendientes, especialmente aquellos relacionados con la evolución de la electrónica digital, ancho de banda, reducción de costos de implementación, cobertura de red y capacidad de procesamiento. Este documento propone una configuración de red inalámbrica multisalto orientada a instalaciones domóticas inteligentes, basadas en microcontroladores de 32 bits y módulos de comunicación inalámbrica de bajo costo, que permita tener cobertura completa entre los dispositivos del sistema domótico con una reducida pérdida de datos, mejora en la capacidad de procesamiento, adaptabilidad y escalabilidad en los nodos. La evaluación del desempeño de la red considera las siguientes métricas: tiempo de respuesta, alcance de red, escalabilidad y precisión. Los resultados experimentales determinaron una adaptación exitosa del protocolo multisalto AODV, permitiendo una cobertura suficiente para una vivienda unifamiliar, a una velocidad de transmisión de 250Kbps, que garantiza la integridad y seguridad de los datos.

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Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida
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Rodríguez Merchán, Eduardo | 2017

Wireless sensor networks have a wide range of applications and many pending challenges, especially those related to the evolution of digital electronics, bandwidth, reduction of implementation costs, network coverage and processing capacity. This document proposes a configuration of multi-hop wireless network oriented to intelligent domotic installations, based on 32-bit microcontrollers and low cost wireless communication modules, which allows to have complete coverage between the devices of the home automation system with a reduced loss of data, improvement in the processing capacity, adaptability and scalability in the nodes. The evaluation of network performance considers the following metrics: response time, network reach, scalability and precision. The experimental results determined a successful adaptation of the AODV multi-hop protocol, allowing sufficient coverage for a single-family house, at transmission speeds of 250Kbps, which guarantees the integrity and security of the data.

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Shallow convolutional network excel for classifying motor imagery EEG in BCI applications
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milanés hermosilla, daily | 2021

Many studies applying Brain-Computer Interfaces (BCIs) based on Motor Imagery (MI) tasks for rehabilitation have demonstrated the important role of detecting the Event-Related Desynchronization (ERD) to recognize the user’s motor intention. Nowadays, the development of MI-based BCI approaches without or with very few calibration stages session-by-session for different days or weeks is still an open and emergent scope. In this work, a new scheme is proposed by applying Convolutional Neural Networks (CNN) for MI classification, using an end-to-end Shallow architecture that contains two convolutional layers for temporal and spatial feature extraction. We hypothesize that a BCI designed for capturing event-related desynchronization/synchronization (ERD/ERS) at the CNN input, with an adequate network design, may enhance the MI classification with fewer calibration stages. The proposed system using the same architecture was tested on three public datasets through multiple experiments, including both subject-specific and non-subject-specific training. Comparable and also superior results with respect to the state-of-the-art were obtained. On subjects whose EEG data were never used in the training process, our scheme also achieved promising results with respect to existing non-subject-specific BCIs, which shows greater progress in facilitating clinical applications.

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Speed control in DC and AC drives
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Beltrán Aguedo, Reinel | 2021

Three speed-control strategies for DC and AC drives are presented in this study: a proportional integral derivative (PID) control strategy; an internal model control (IMC); and a state-space control by pole assignment with full state observer (ESSO). The three strategies are applied to a case study, demonstrating the potential of each one. Experimental identification was used to obtain the drive models used for the synthesis of the controllers. The three strategies showed satisfactory results when compared with the requirements imposed on the system, in addition to the good rejection of disturbances. However, the IMC strategy showed itself to be a little softer and with no maximum overshoot, which in some cases and some applications is usually a restriction.

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Tools for the implementation of a SCADA system in a desalination process
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Núñez Alvarez, José Ricardo | 2019-12-17

In this work a system is designed and implemented in SCADA MOVICON 11.5, in which the operation of five seawater desalination lines by reverse osmosis which work in parallel, with four coastal wells and two end-of-line pumps of the permeated water obtainedare integrated, synchronized and supervised as a single plant. Each desalination line has its own control system and can operate independently. As a product, synchronization algorithms were obtained that were added to the system through script codes, which guarantee continuous productivity in the desalination process, achieving synchronization between the mentioned sub-processes. Simultaneous operations of starting, washing and stopping that affected the performance of the osmosis lines are avoided. Alarmsare generated, reports are created, historical records and trends for the decision making on failures prediction, predictive maintenance and troubleshooting.

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Navegação por autor "Núñez Alvarez, José Ricardo"

A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer ﻿

A new methodology incorporating public participation within Cuba's ICZM program ﻿

Empleo del software Sunny Design Web con vistas a dimensionar el sistema conectado a Red en la Universidad Técnica de Manabí ﻿

Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-Grid System Using HOMER Pro®: A Case Study in Colombia ﻿

Guías de laboratorios de transformadores y motores de corriente continua ﻿

Human machine interface (HMI) based on a multi-agent system in a water purification plant ﻿

La informática y la gestión integrada de los sistemas de alertas tempranas dentro del manejo integrado de zonas costeras ﻿

Intelligent multi-agent architecture for a supervisor of a water treatment plant ﻿

Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red ﻿

Monte Carlo dropout for uncertainty estimation and motor imagery classification ﻿

Network of multi-hop wireless sensors for low cost and extended area home automation systems ﻿

Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida ﻿

Shallow convolutional network excel for classifying motor imagery EEG in BCI applications ﻿

Speed control in DC and AC drives ﻿

Tools for the implementation of a SCADA system in a desalination process ﻿

Envíos recientes

A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer

A new methodology incorporating public participation within Cuba's ICZM program

Empleo del software Sunny Design Web con vistas a dimensionar el sistema conectado a Red en la Universidad Técnica de Manabí

Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-Grid System Using HOMER Pro®: A Case Study in Colombia

Guías de laboratorios de transformadores y motores de corriente continua

Human machine interface (HMI) based on a multi-agent system in a water purification plant

La informática y la gestión integrada de los sistemas de alertas tempranas dentro del manejo integrado de zonas costeras

Intelligent multi-agent architecture for a supervisor of a water treatment plant

Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red

Monte Carlo dropout for uncertainty estimation and motor imagery classification

Network of multi-hop wireless sensors for low cost and extended area home automation systems

Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida

Shallow convolutional network excel for classifying motor imagery EEG in BCI applications

Speed control in DC and AC drives

Tools for the implementation of a SCADA system in a desalination process

A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer

A new methodology incorporating public participation within Cuba's ICZM program

Empleo del software Sunny Design Web con vistas a dimensionar el sistema conectado a Red en la Universidad Técnica de Manabí

Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-Grid System Using HOMER Pro®: A Case Study in Colombia

Guías de laboratorios de transformadores y motores de corriente continua

Human machine interface (HMI) based on a multi-agent system in a water purification plant

La informática y la gestión integrada de los sistemas de alertas tempranas dentro del manejo integrado de zonas costeras

Intelligent multi-agent architecture for a supervisor of a water treatment plant

Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red

Monte Carlo dropout for uncertainty estimation and motor imagery classification

Network of multi-hop wireless sensors for low cost and extended area home automation systems

Red de sensores inalámbricos multisalto para sistemas domóticos de bajo costo y área extendida

Shallow convolutional network excel for classifying motor imagery EEG in BCI applications

Speed control in DC and AC drives

Tools for the implementation of a SCADA system in a desalination process