Simplified method based on an intelligent model to obtain the extinction angle of the current for a single-phase half wave controlled rectifier with resistive and inductive load

Calvo-Rolle, José Luís; Quintián-Pardo, Héctor; Corchado, Emilio; Meizoso-López, María del Carmen; García, Ramón Ferreiro

doi:10.1016/j.jal.2014.11.010

Cited by 28 publications

(7 citation statements)

References 17 publications

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“…Both configurations, vertical and horizontal have their own operation problems, but the horizontal has more disadvantages than the other, among others because the exchanger is closer to the ground surface [38,49]. Due to the proximity to the surface, the weather has influence over the exchanger and the efficiency could be lower [51,39,14]; even that, there are some studies like [16] that show the effect of the exchanger over the ground temperature. For the same reason, the installation may be damaged due to different reasons like crushing, perforations, and so on [4].…”

Section: Heat Pump Systemsmentioning

confidence: 99%

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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The heat pump with geothermal exchanger is one of the best methods to heat up a building. The heat exchanger is an element with high probability of failure due to the fact that it is an outside construction and also due to its size. In the present study, a novel intelligent system was designed to detect faults on this type of heating equipment. The novel approach has been successfully empirically tested under a real dataset obtained during measurements of one year. It was based on classification techniques with the aim of detecting failures in real time. Then, the model was validated and verified over the building; it obtained good results in all the operating conditions ranges.

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Section: Heat Pump Systemsmentioning

confidence: 99%

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Casteleiro‐Roca

Quintián

Calvo-Rolle

et al. 2016

Journal of Applied Logic

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“…Si se dispone de un conjunto de datos de las variables de funcionamiento del sistema, es posible el empleo de técnicas de regresión. En este sentido, los algoritmos de análisis de regresión múltiple son usados en diferentes y numerosas aplicaciones (Ghanghermeh et al, 2013;Calvo-Rolle et al, 2015Baruque et al, 2019). Pese a que, por norma general, no ofrecen una muy buena precisión, son muchos los trabajos y aplicaciones en los que se han empleado estas técnicas (Calvo- Casteleiro-Roca et al, 2015;Jove et al, 2018b).…”

Section: Introductionunclassified

Sistema híbrido inteligente para la predicción de la tensión de una pila de combustible basada en hidrógeno

Casteleiro‐Roca

Barragán

Segura

et al. 2019

Rev. iberoam. autom. inform. ind.

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<p>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 con un carácter eminentemente sostenible. Con este fin, se está investigando sobre sistemas de almacenamiento de energía; de los que uno de los más prometedores, en lo que a capacidad y movilidad se refiere, es el basado en hidrógeno. En el presente trabajo se obtiene un modelo para predecir el comportamiento dinámico de una pila de combustible alimentada por hidrógeno, lo cual permitirá mejorar su control entre otras aplicaciones. Las variables usadas en esta investigación se han extraído de un banco de pruebas real, donde se monitoriza una pila de combustible mientras se producen variaciones en una carga programable conectada a la salida de la misma. Para realizar este modelado se opta por estudiar la implementación de un modelo híbrido basado en técnicas de agrupamiento y, posteriormente, técnicas inteligentes de regresión con redes neuronales artificiales sobre cada uno de los grupos. La propuesta se ha probado con dos conjuntos de datos de validación, consiguiendo resultados altamente satisfactorios.</p>

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“…A hybrid intelligent model is created by combining clustering and intelligent regression algorithms. These kinds of models were used with good results in several different applications [36][37][38][39][40][41][42]. Other algorithms based on multiple regression analysis used to have worse performance, but they are still used [37,[43][44][45][46].…”

Section: Introductionmentioning

confidence: 99%

“…These kinds of models were used with good results in several different applications [36][37][38][39][40][41][42]. Other algorithms based on multiple regression analysis used to have worse performance, but they are still used [37,[43][44][45][46]. The hybrid system presented in this paper uses Artificial Neural Networks and Polynomial Regression techniques to perform the regression phase [47][48][49][50][51][52].…”

Section: Introductionmentioning

confidence: 99%

Fuel Cell Hybrid Model for Predicting Hydrogen Inflow through Energy Demand

et al. 2019

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Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model is required to establish efficient control strategies. This paper presents a hybrid model to predict the variation of H2 flow of a hydrogen fuel cell. This model combining clusters’ techniques to get multiple Artificial Neural Networks models whose results are merged by Polynomial Regression algorithms to obtain a more accurate estimate. The model proposed in this article use the power generated by the fuel cell, the hydrogen inlet flow, and the desired power variation, to predict the necessary variation of the hydrogen flow that allows the stack to reach the desired working point. The proposed algorithm has been tested on a real proton exchange membrane fuel cell, and the results show a great precision of the model, so that it can be very useful to improve the efficiency of the fuel cell system.

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Simplified method based on an intelligent model to obtain the extinction angle of the current for a single-phase half wave controlled rectifier with resistive and inductive load

Cited by 28 publications

References 17 publications

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

An intelligent fault detection system for a heat pump installation based on a geothermal heat exchanger

Sistema híbrido inteligente para la predicción de la tensión de una pila de combustible basada en hidrógeno

Fuel Cell Hybrid Model for Predicting Hydrogen Inflow through Energy Demand

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