<?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>S1815-59282022000200001</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Propuesta de metodología para el diagnóstico de fallos basado en árboles de decisión y lógica difusa]]></article-title>
<article-title xml:lang="en"><![CDATA[Methodology proposal for fault diagnosis based on decision trees and fuzzy logic]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Coll]]></surname>
<given-names><![CDATA[Amanda Martí]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez]]></surname>
<given-names><![CDATA[Adrian Milberberg]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gutiérrez]]></surname>
<given-names><![CDATA[David Manresa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Moreno]]></surname>
<given-names><![CDATA[Alberto Sergio Prieto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Llanes-Santiago]]></surname>
<given-names><![CDATA[Orestes]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Tecnológica de La Habana José Antonio Echeverría (CUJAE)  ]]></institution>
<addr-line><![CDATA[La Habana ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Automática. CADMART Inc.  ]]></institution>
<addr-line><![CDATA[ Florida]]></addr-line>
<country>Estados Unidos</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,EMSI FARMA S.R.L  ]]></institution>
<addr-line><![CDATA[La Habana ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<volume>43</volume>
<numero>2</numero>
<fpage>1</fpage>
<lpage>16</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59282022000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59282022000200001&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59282022000200001&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN La presente investigación tiene como objetivo presentar una propuesta de metodología para el diagnóstico de fallos en la industria basado en árboles de decisión y lógica difusa. Los árboles de decisión tienen entre sus ventajas la sencillez y facilidad de interpretación. Mientras que, la lógica difusa, brinda capacidades para el manejo de la incertidumbre del conocimiento aportado por los expertos del proceso. Esta nueva metodología evita tener que contar con una gran base de datos de entrenamiento durante el proceso de desarrollo del diagnosticador y en su lugar usar una tabla de síntomas de fallos. Además, se hace uso del estándar PMML para transmitir la información del modelo obtenido en la aplicación de configuración a la aplicación que realiza las tareas de monitoreo en línea. La efectividad de la metodología se analiza en un caso real, específicamente en el diagnóstico de fallos de un proceso de tratamiento de agua para inyección de la industria farmacéutica.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The objective of this research is to present a methodology proposal for the diagnosis of failures in the industry based on decision trees and fuzzy logic. Decision trees have among their advantages simplicity and ease of interpretation. While fuzzy logic provides capabilities for managing the uncertainty of the knowledge provided by process experts. This new methodology makes the contribution of offering a method to avoid the need to have a large training database during the development process for the diagnosticator, which will imply the use of a fault symptom table. In addition, the PMML standard is used to transmit the information of the model obtained in the configuration application to the application that performs the online monitoring tasks. The effectiveness of the methodology is analyzed in a real case, specifically in the diagnosis of failures of a water treatment process for injection in the pharmaceutical industry.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[diagnóstico de fallos]]></kwd>
<kwd lng="es"><![CDATA[árboles de decisión]]></kwd>
<kwd lng="es"><![CDATA[lógica difusa]]></kwd>
<kwd lng="es"><![CDATA[estándar PMML]]></kwd>
<kwd lng="es"><![CDATA[propuesta de metodología]]></kwd>
<kwd lng="en"><![CDATA[fault diagnosis]]></kwd>
<kwd lng="en"><![CDATA[decision trees]]></kwd>
<kwd lng="en"><![CDATA[fuzzy logic]]></kwd>
<kwd lng="en"><![CDATA[PMML standard]]></kwd>
<kwd lng="en"><![CDATA[methodology proposal]]></kwd>
</kwd-group>
</article-meta>
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