<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1815-5928</journal-id>
<journal-title><![CDATA[Ingeniería Electrónica, Automática y Comunicaciones]]></journal-title>
<abbrev-journal-title><![CDATA[EAC]]></abbrev-journal-title>
<issn>1815-5928</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59282021000200076</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Método de lógica difusa para el diagnóstico de fallos incipientes en un transformador de 40MVA.]]></article-title>
<article-title xml:lang="en"><![CDATA[A fuzzy logic method for diagnosis incipient faults in a 40MVA transformer.]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernández Blanco]]></surname>
<given-names><![CDATA[Juan Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández González]]></surname>
<given-names><![CDATA[Félix Herminio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Corrales Barrios]]></surname>
<given-names><![CDATA[Luis Benigno]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,UEB Grupos Electrógenos y Servicios Eléctricos (Departamento de Operaciones)  ]]></institution>
<addr-line><![CDATA[Granma ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Empresa de Aceros Inoxidables ACINOX (Grupo Eléctrico)  ]]></institution>
<addr-line><![CDATA[Las Tunas ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Camagüey (UCIAL) Facultad de Electromecánica ]]></institution>
<addr-line><![CDATA[Camagüey ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2021</year>
</pub-date>
<volume>42</volume>
<numero>2</numero>
<fpage>76</fpage>
<lpage>88</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282021000200076&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282021000200076&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282021000200076&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Los transformadores de potencia son equipos de gran importancia y su disponibilidad es fundamental para la seguridad y continuidad del servicio eléctrico en los procesos industriales. Existen diferentes métodos de diagnóstico que utilizan técnicas inteligentes para la detección de fallos en los transformadores de potencia. Estos métodos, aunque tienen buenos resultados, son difíciles de ejecutar en la práctica y encuentran restricciones en la detección de los fallos. Este trabajo propone un método para el diagnóstico de fallos en un transformador de 40MVA utilizando la lógica difusa a partir del análisis de los gases disueltos en el aceite. La propuesta es simple, de fácil implementación y posee una buena precisión en la detección de fallos múltiples. Con muestras de gases disueltos fidedignos garantiza una tasa total de exactitud en la detección de fallos incipientes de 91.6%, mientras que el método del triángulo de Duval es 74.1%, el método de IEC es 52.2% y el método de Rogers es 42.8%, lo que demuestra su superioridad frente a los métodos de diagnósticos convencionales. El método, basado en datos históricos, permite determinar la condición del transformador sin que se afecte la continuidad del servicio.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT Power transformers are equipment of great importance and their availability is essential for the safety and continuity of electrical service in industrial processes. There are different diagnostic methods that use smart techniques to detect power transformer faults. These methods, although successful, are difficult to implement in practice and encounter restrictions in the detection of failures. This document proposes a method for the diagnosis of incipient failures in a 40MVA transformer using fuzzy logic from the analysis of the gases dissolved in the oil. The proposal is simple, easy to implement and has good precision in detecting multiple failures. With reliable dissolved gas samples, it guarantees a total accuracy rate in the detection of incipient faults of 91.6%, while the Duval triangle method is 74.1%, the IEC method is 52.2% and the Rogers method in 42.8%, which demonstrates its superiority, compared to conventional diagnostic methods. The method, based on historical data, makes it possible to determine the condition of the transformer without affecting the continuity of the service.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[diagnóstico de fallos]]></kwd>
<kwd lng="es"><![CDATA[lógica difusa]]></kwd>
<kwd lng="es"><![CDATA[análisis de gases disueltos]]></kwd>
<kwd lng="es"><![CDATA[transformador de potencia]]></kwd>
<kwd lng="en"><![CDATA[fault diagnosis]]></kwd>
<kwd lng="en"><![CDATA[fuzzy logic]]></kwd>
<kwd lng="en"><![CDATA[dissolved gas analysis]]></kwd>
<kwd lng="en"><![CDATA[power transformer]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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