<?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>2007-7467</journal-id>
<journal-title><![CDATA[RIDE. Revista Iberoamericana para la Investigación y el Desarrollo Educativo]]></journal-title>
<abbrev-journal-title><![CDATA[RIDE. Rev. Iberoam. Investig. Desarro. Educ]]></abbrev-journal-title>
<issn>2007-7467</issn>
<publisher>
<publisher-name><![CDATA[Centro de Estudios e Investigaciones para el Desarrollo Docente A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-74672025000100153</article-id>
<article-id pub-id-type="doi">10.23913/ride.v15i30.2331</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Diseño de Metodología de análisis de Mantenimiento a Equipo Industrial a través del uso de Filtro de Kalman y Redes Bayesianas Dinámicas]]></article-title>
<article-title xml:lang="en"><![CDATA[Design of Industrial Equipment Maintenance Analysis Methodology through the use of Kalman Filter and Dynamic Bayesian Networks]]></article-title>
<article-title xml:lang="pt"><![CDATA[Projeto de uma Metodologia de Análise de Manutenção de Equipamentos Industriais através da utilização de Filtro de Kalman e Redes Bayesianas Dinâmicas]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ramos Lozano]]></surname>
<given-names><![CDATA[Secundino]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rodríguez Medina]]></surname>
<given-names><![CDATA[Manuel Arnoldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Poblano Ojinaga]]></surname>
<given-names><![CDATA[Eduardo Rafael]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barraza Contreras]]></surname>
<given-names><![CDATA[Jesús Manuel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma de Ciudad Juárez  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Tecnológico Nacional de México Instituto Tecnológico de Cd. Juárez ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Tecnológico Nacional de México Instituto Tecnológico de Cd. Juárez ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma de Ciudad Juárez  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>15</volume>
<numero>30</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-74672025000100153&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-74672025000100153&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-74672025000100153&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Debido al alto nivel de competencia industrial, las compañías buscan hacer cada vez más eficientes sus operaciones mediante la reducción de costos, sin afectar la calidad de sus productos. Una de las formas más comúnmente utilizadas para lograr este objetivo es optimizar el funcionamiento de los equipos productivos, por lo que en este trabajo de investigación se desarrolló una metodología para realizar el análisis de fallas, con el objetivo de identificar su causa raíz y mejorar el desempeño del equipo y maquinaria. La metodología emplea una red bayesiana dinámica para el análisis. Esta herramienta proporciona información sobre la probabilidad de ocurrencia de las fallas, lo que resulta sumamente útil, ya que permite establecer prioridades en las acciones correctivas para eliminarlas o reducir su incidencia, además, para los equipos que requieren monitoreo continuo, se emplea el filtro de Kalman y el filtro de Kalman extendido cuando corresponda, su propósito es eliminar el ruido en el proceso de adquisición de datos para obtener información confiable para el análisis, además, permite estimar con precisión el estado de ciertas variables en lugares donde es difícil o imposible colocar dispositivos de medición directa. La implementación de esta metodología permite una mejora sustancial en el proceso de análisis de fallas y, en consecuencia, hace más efectivas las acciones correctivas para su eliminación.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Due to the high level of industrial competition companies strive to enhance their operational efficiency by reducing costs without affecting the quality of their products. One of the most common approaches to achieving this goal is optimizing the operation of production equipment. Therefore, this research develops a methodology for failure analysis aimed at identifying root causes and improving equipment and machinery performance. The methodology employs dynamic Bayesian network for failure analysis. This tool provides valuable information about the probability of failure occurrence, allowing the prioritization of corrective actions to eliminate failures and reduce their incidence. Additionally, for equipment requiring continuous monitoring, the Kalman filter and, when applicable, the extended Kalman filter are employed., Its purpose is to eliminate noise in the data acquisition process, ensuring reliable information for analysis. Moreover, it enables the accurate estimation of certain variables in locations where direct measurement is challenging or unfeasible. Implementing this methodology leads to substantial improvements in the failure analysis process, making corrective actions more effective in eliminating failures.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Devido ao alto nível de competição industrial, as empresas buscam tornar suas operações cada vez mais eficientes, reduzindo custos, sem afetar a qualidade de seus produtos. Uma das formas mais utilizadas para atingir esse objetivo é otimizar a operação dos equipamentos de produção, por isso neste trabalho de pesquisa foi desenvolvida uma metodologia para realizar análises de falhas, com o objetivo de identificar sua causa raiz e melhorar o desempenho dos equipamentos e máquinas. A metodologia emprega uma rede bayesiana dinâmica para análise. Esta ferramenta fornece informações sobre a probabilidade de ocorrência de falhas, o que é extremamente útil, pois permite estabelecer prioridades nas ações corretivas para eliminá-las ou reduzir sua incidência. Além disso, para equipamentos que exigem monitoramento contínuo, o filtro de Kalman e o filtro de Kalman estendido são utilizados quando apropriado. Sua finalidade é eliminar ruídos no processo de aquisição de dados para obter informações confiáveis &#8203;&#8203;para análise. Além disso, permite estimar com precisão o estado de certas variáveis &#8203;&#8203;em locais onde é difícil ou impossível colocar dispositivos de medição direta. A implementação desta metodologia permite uma melhoria substancial no processo de análise de falhas e, consequentemente, torna mais eficazes as ações corretivas para a sua eliminação.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Redes bayesianas]]></kwd>
<kwd lng="es"><![CDATA[red bayesiana dinámica]]></kwd>
<kwd lng="es"><![CDATA[análisis de mantenimiento]]></kwd>
<kwd lng="es"><![CDATA[Filtro de Kalman]]></kwd>
<kwd lng="en"><![CDATA[Bayesian Networks]]></kwd>
<kwd lng="en"><![CDATA[Dynamic Bayesian Networks]]></kwd>
<kwd lng="en"><![CDATA[maintenance analysis]]></kwd>
<kwd lng="en"><![CDATA[Kalman filter]]></kwd>
<kwd lng="pt"><![CDATA[Redes bayesianas]]></kwd>
<kwd lng="pt"><![CDATA[rede bayesiana dinâmica]]></kwd>
<kwd lng="pt"><![CDATA[análise de manutenção]]></kwd>
<kwd lng="pt"><![CDATA[filtro de Kalman]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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