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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 ...
Beach landscape dataset of Fernando de Noronha Island (Brazil)

Portz, Luana; da Costa Cristiano, Samanta; Rockett, Gabriela (Data in Brief, 2020-04-29)

Beach landscape Dataset of Fernando de Noronha Island (Brazil), using a checklist with 26 physical and human parameters. Fernando de Noronha beaches were divided into sectors according to the landscape diversity. In total, ...
Design of a fuzzy controller for a hybrid generation system

Nuñez, J. R.; Mestre, J.; Cabello Eras, Juan José; Dominguez, H.; Fong, J.; Peña, L.; Benítez, I.; De Oliveira, D. (Corporación Universidad de la Costa, 2020)

This paper presents the design of a control system for the automatic connection/disconnection and distribution of load, between an asynchronous alternator and a generator, in a hydroelectric central that works in isolated ...
Estimación y análisis de la relacion entre desarrollo económico y emisiones de CO2

Avendaño Cárdenas, Egna; Moreno Freites, Zahira; Mendoza Crespo, Henrry (Universidad de la Costa, 2023-07-01)

La situación ambiental es un tema que compete al mundo y que debe ser abordado desde diferentes aristas por esta razón este artículo tiene como objetivo determinar la relación entre desarrollo económico y las emisiones de ...
Evaluation and prioritization of information security controls of ISO/IEC 27002:2013 for SMEs Through Fuzzy TOPSIS

Tariq, Muhammad Imran; Tayyaba, Shahzadi; De-La-Hoz-Franco, Emiro; Ashraf, Muhammad Waseem; Rad, Dana; Butt, Shariq Aziz; Santarcangelo, Vito (Springer Science and Business Media Deutschland GmbHGermany, 2021-11-26)

Managing a large number of Information Security controls with slight impact may increase the extra effort and time in the shape of implementation and mitigation of risk. Therefore, Information Security Controls need to be ...
Fault diagnosis on electrical distribution systems based on fuzzy logic

Pérez, Ramón; Inga, Esteban; Aguila, Alexander; Vásquez, Carmen; Lima, Liliana; amelec, viloria; Maury-Ardila, Henry (Springer VerlagGermany, 2022)

The occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since ...
Fault diagnosis on electrical distribution systems based on fuzzy logic

Perez, Ramon; Inga, Esteban; Aguila, Alexander; Vásquez, Carmen; Chaltel Lima, Liliana A.; Viloria Silva, Amelec Jesus; Maury Ardila, Henry Alfonso (Lecture Notes in Computer Science, 2018)

he occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the ...
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case

Varela Izquierdo, Noel; Lezama Pineda, Omar Bonerge; Dorta Gómez, Rafael; Viloria, Amelec; Deras, Ivan; Hernández Fernández, Lissette (Springer Verlag, 2018-06-16)

Every day organizations pay more attention to Human Resources Management, because this human factor is preponderant in the results of it. An important policy is the Performance Evaluation (ED), since it allows the control ...
Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

Robles Algarin, Carlos Arturo; Liñán Fuentes, Roberto; Ospino Castro, Adalberto Jose (International Journal on Smart Sensing and Intelligent Systems, 2018)

This paper presents the implementation of a fuzzy controller on the Arduino Mega board, for tracking the maximum power point of a photovoltaic (PV) module; using low cost materials. A dc-dc converter that incorporates a ...
Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

Robles Algarin, Carlos Arturo; Liñán Fuentes, Roberto; Ospino Castro, Adalberto Jose (International Journal on Smart Sensing and Intelligent Systems, 2018)

This paper presents the implementation of a fuzzy controller on the Arduino Mega board, for tracking the maximum power point of a photovoltaic (PV) module; using low cost materials. A dc-dc converter that incorporates a ...
A proposal for the diagnosis of incipient faults in power transformers using fuzzy logic techniques

Fernández Blanco, Juan Carlos ; Corrales Barrios, Luis Benigno; Benitez Pina, Israel Francisco; Núñez Alvarez, José Ricardo; Hernández, Félix H.; Llosas Albuerne, Yolanda (Praise Worthy PrizeItaly, 2022)

The availability of power transformers is essential for the safety and continuity of electrical service. Today's fault diagnosis methods use intelligent techniques such as neural networks, support machines, hybrid techniques, ...
Student performance assessment using clustering techniques

Varela Izquierdo, Noel; Sánchez Montero, Edgardo Rafael; Vásquez, Carmen; Garcia Guiliany, Jesus Enrique; Vargas Mercado, Carlos; Orellano Llinas, Nataly; Batista Zea, Karina; Palencia, Pablo (Communications in Computer and Information Science, 2019-07-26)

The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This ...

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A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer
...
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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Beach landscape dataset of Fernando de Noronha Island (Brazil)
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Portz, Luana | 2020-04-29

Beach landscape Dataset of Fernando de Noronha Island (Brazil), using a checklist with 26 physical and human parameters. Fernando de Noronha beaches were divided into sectors according to the landscape diversity. In total, 19 sectors were evaluated based on observations done during walks in the area, observations from viewpoints, with remote data. The evaluations were performed during fieldwork from 2014 (summer) and 2016 (spring). The landscape quality evaluation of Fernando de Noronha was performed using the Coastal Scenery Evaluation System. This method converts qualitative-quantitative data in quantitative data by estimating weights for 26 parameters (18 physical parameters – P - and 8 human-related parameters – H). The main parameters that define the landscape quality are classified from 1 (absence/bad quality) to 5 (presence/excellent quality). A mathematical model based on fuzzy logic was utilized to integrate the parameters weights in a special system for the scenarios classifications resulting in a value named D. The D-value is the indicator of the attractiveness of the evaluated place. The beaches are divided into classes ranging from 1 (extremely attractive natural site) to 5 (unattractive urban areas).

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Design of a fuzzy controller for a hybrid generation system
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Nuñez, J. R. | 2020

This paper presents the design of a control system for the automatic connection/disconnection and distribution of load, between an asynchronous alternator and a generator, in a hydroelectric central that works in isolated mode. The design of a control algorithm based on fuzzy logic is exposed, as this is a flexible method to be used in different installations with a variety of technology. The controller is supported on the Arduino Mega 2560 platform, in order to develop a low-cost system with its own technology, it is tested by computer simulation using the professional software Proteus v7.7, which guarantees that once validated the correct operation of the controller can be migrated to another system, say for example a PLC. The results obtained are shown and the simulations performed to the different blocks of the system are explained.

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Estimación y análisis de la relacion entre desarrollo económico y emisiones de CO2
...
Avendaño Cárdenas, Egna | 2023-07-01

La situación ambiental es un tema que compete al mundo y que debe ser abordado desde diferentes aristas por esta razón este artículo tiene como objetivo determinar la relación entre desarrollo económico y las emisiones de CO2 per cápita, según la premisa de Kuznets. Para ello se aplica un modelo econométrico con datos del año 2003 - 2016, para once (11) países: Alemania, Argentina, Australia, Brasil, Canadá, Chile, China, Colombia, Estados Unidos, Emiratos Árabes y Rusia. Los resultados obtenidos a partir del modelo econométrico empleado confirman parcialmente la relación hipotética planteada por la curva ambiental CAK. Se complementa este hallazgo mediante un modelo de lógica difusa donde se aprecia la variabilidad del comportamiento de las emisiones futuras del CO2 de acuerdo a la variable de entrada PIB per cápita y CO2 per cápita. Ambos modelos invitan a comprender la situación ambiental de manera holística, incluyente y creativa. Se concluye que a partir de los datos usados para los dos modelos el aumento o disminución de emisiones de CO2, está condicionado a múltiples variables, por lo cual la lógica difusa abre un nuevo campo de exploración en este tema.

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Evaluation and prioritization of information security controls of ISO/IEC 27002:2013 for SMEs Through Fuzzy TOPSIS
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Tariq, Muhammad Imran | 2021-11-26

Managing a large number of Information Security controls with slight impact may increase the extra effort and time in the shape of implementation and mitigation of risk. Therefore, Information Security Controls need to be prioritized. The main goals of this paper are to an in-depth study of ISO/IEC 27002:2013 that consists of 114 information security controls with 35 security domains and to rank/prioritize these controls. In this study, a questioner was designed and distributed it among Information Security Experts having experience of Information Security deployment in Small Medium Enterprises (SMEs). The study initially studied different methodologies for prioritization of Information Security Controls, developed criteria including effectiveness, implementation time, mitigation time, risk and budgetary constraints to evaluate ISO/IEC 27002:2013 control. The study applies a Fuzzy Technique for Order of Preference by Similarity to Ideal Solution TOPSIS technique to evaluate and rank the information security controls. A fuzzy TOPSIS methodology comprising linguistics data is used to get unclear conditions and, therefore, fuzzy TOPSIS is used as a tool to allow a more precise calculation of inaccurate parameters than old-style methods. We contend that evaluating of ISO/IEC 27002:2013 using fuzzy TOPSIS leads to a great accurate assessment and, therefore, supports an effective selection/ranking/ prioritization of information security controls in SMEs.

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Fault diagnosis on electrical distribution systems based on fuzzy logic
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Pérez, Ramón | 2022

The occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the 1990s, fuzzy logic and other artificial intelligence techniques have been implemented to identify faults in distribution systems. The main objective of this paper is to perform fault diagnoses based on fuzzy logic. For conducting the study, the IEEE 34-Node Radial Test Feeder is used. The data was obtained from ATPDraw-based fault simulation on different nodes of the circuit considering three different fault resistance values of 0, 5, and 10 ohms. The fuzzy rules to identify the type of fault are defined using the magnitudes of the phase and neutral currents. All measurements are taken at the substation, and the results show that the proposed technique can perfectly identify and locate the type of failure.

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Fault diagnosis on electrical distribution systems based on fuzzy logic
...
Perez, Ramon | 2018

he occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the 1990s, fuzzy logic and other artificial intelligence techniques have been implemented to identify faults in distribution systems. The main objective of this paper is to perform fault diagnoses based on fuzzy logic. For conducting the study, the IEEE 34-Node Radial Test Feeder is used. The data was obtained from ATPDraw-based fault simulation on different nodes of the circuit considering three different fault resistance values of 0, 5, and 10 ohms. The fuzzy rules to identify the type of fault are defined using the magnitudes of the phase and neutral currents. All measurements are taken at the substation, and the results show that the proposed technique can perfectly identify and locate the type of failure.

LEER
Fuzzy logic applied to the performance evaluation. Honduran coffee sector case
...
Varela Izquierdo, Noel | 2018-06-16

Every day organizations pay more attention to Human Resources Management, because this human factor is preponderant in the results of it. An important policy is the Performance Evaluation (ED), since it allows the control and monitoring of management indicators, both individual and by process. To analyze the results, decision making in many organizations is done in a subjective manner and in consequence it brings serious problems to them. Taking into account this problem, it is decided to design and apply diffuse mathematical procedures and tools to reduce subjectivity and uncertainty in decision-making, creating work algorithms for this policy, which includes multifactorial weights and analysis with measurement indicators that they allow tangible and reliable results. Statistical techniques (ANOVA) are also used to establish relationships between work groups and learn about best practices.

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Implementation of a cost-effective fuzzy MPPT controller on the Arduino board
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Robles Algarin, Carlos Arturo | 2018

This paper presents the implementation of a fuzzy controller on the Arduino Mega board, for tracking the maximum power point of a photovoltaic (PV) module; using low cost materials. A dc-dc converter that incorporates a driver circuit to control the turning on and offof the Mosfet transistor was designed. The controller was evaluated in a PV system consisting of a 65 W PV module and a 12 V/55Ah battery. The results demonstrate the superiority of the fuzzy controller compared to the traditional P & O algorithm, in terms of efficiency and oscillations around the operating point.

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Implementation of a cost-effective fuzzy MPPT controller on the Arduino board
...
Robles Algarin, Carlos Arturo | 2018

This paper presents the implementation of a fuzzy controller on the Arduino Mega board, for tracking the maximum power point of a photovoltaic (PV) module; using low cost materials. A dc-dc converter that incorporates a driver circuit to control the turning on and offof the Mosfet transistor was designed. The controller was evaluated in a PV system consisting of a 65 W PV module and a 12 V/55Ah battery. The results demonstrate the superiority of the fuzzy controller compared to the traditional P & O algorithm, in terms of efficiency and oscillations around the operating point.

LEER
A proposal for the diagnosis of incipient faults in power transformers using fuzzy logic techniques
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Fernández Blanco, Juan Carlos | 2022

The availability of power transformers is essential for the safety and continuity of electrical service. Today's fault diagnosis methods use intelligent techniques such as neural networks, support machines, hybrid techniques, among others. Although they present good results, these techniques find restrictions in the ability to determine the precise moment in the event of multiple and small-magnitude faults. The proposal includes a new algorithm based on fuzzy rules that incorporates the daily increase of dissolved gases in the transformer oil that improves the classification of incipient faults. With reliable samples of gas dissolved in oil, the method proposed in the research can obtain a total precision rate of 91.4%. In contrast, this degree of precision is lower in other conventional methods reported in the bibliography. In addition, its performance in the classification of multiple failures is 97.5%. The method uses fuzzy logic tools to suggest actions aimed at preventive maintenance by monitoring the total of combustible gases dissolved in the oil. The proposal is a simple and easy solution to implement in practice that allows determining the status of the transformer in service without affecting the continuity of the electricity supply.

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Student performance assessment using clustering techniques
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Varela Izquierdo, Noel | 2019-07-26

The application of informatics in the university system management allows managers to count with a great amount of data which, rationally treated, can offer significant help for the student programming monitoring. This research proposes the use of clustering techniques as a useful tool of management strategy to evaluate the progression of the students’ behavior by dividing the population into homogeneous groups according to their characteristics and skills. These applications can help both the teacher and the student to improve the quality of education. The selected method is the data grouping analysis by means of fuzzy logic using the Fuzzy C-means algorithm to achieve a standard indicator called Grade, through an expert system to enable segmentation.

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Listar por tema "Fuzzy logic"

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

Beach landscape dataset of Fernando de Noronha Island (Brazil) ﻿

Design of a fuzzy controller for a hybrid generation system ﻿

Estimación y análisis de la relacion entre desarrollo económico y emisiones de CO2 ﻿

Evaluation and prioritization of information security controls of ISO/IEC 27002:2013 for SMEs Through Fuzzy TOPSIS ﻿

Fault diagnosis on electrical distribution systems based on fuzzy logic ﻿

Fault diagnosis on electrical distribution systems based on fuzzy logic ﻿

Fuzzy logic applied to the performance evaluation. Honduran coffee sector case ﻿

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board ﻿

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board ﻿

A proposal for the diagnosis of incipient faults in power transformers using fuzzy logic techniques ﻿

Student performance assessment using clustering techniques ﻿

Envíos recientes

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

Beach landscape dataset of Fernando de Noronha Island (Brazil)

Design of a fuzzy controller for a hybrid generation system

Estimación y análisis de la relacion entre desarrollo económico y emisiones de CO2

Evaluation and prioritization of information security controls of ISO/IEC 27002:2013 for SMEs Through Fuzzy TOPSIS

Fault diagnosis on electrical distribution systems based on fuzzy logic

Fault diagnosis on electrical distribution systems based on fuzzy logic

Fuzzy logic applied to the performance evaluation. Honduran coffee sector case

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

A proposal for the diagnosis of incipient faults in power transformers using fuzzy logic techniques

Student performance assessment using clustering techniques

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

Beach landscape dataset of Fernando de Noronha Island (Brazil)

Design of a fuzzy controller for a hybrid generation system

Estimación y análisis de la relacion entre desarrollo económico y emisiones de CO2

Evaluation and prioritization of information security controls of ISO/IEC 27002:2013 for SMEs Through Fuzzy TOPSIS

Fault diagnosis on electrical distribution systems based on fuzzy logic

Fault diagnosis on electrical distribution systems based on fuzzy logic

Fuzzy logic applied to the performance evaluation. Honduran coffee sector case

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

Implementation of a cost-effective fuzzy MPPT controller on the Arduino board

A proposal for the diagnosis of incipient faults in power transformers using fuzzy logic techniques

Student performance assessment using clustering techniques