<?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>1815-5901</journal-id>
<journal-title><![CDATA[Ingeniería Energética]]></journal-title>
<abbrev-journal-title><![CDATA[Energética]]></abbrev-journal-title>
<issn>1815-5901</issn>
<publisher>
<publisher-name><![CDATA[Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1815-59012021000200048</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Innovando desde la Gestión del mantenimiento. El Remantenimiento. Caso práctico Central Hidroeléctrica]]></article-title>
<article-title xml:lang="en"><![CDATA[Innovating from Maintenance Management. Remaintenance. Case study: Hydroelectric Power Plant]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martinez Monseco]]></surname>
<given-names><![CDATA[Francisco Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Planagumá Vilamitjana]]></surname>
<given-names><![CDATA[Albert]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Enel Green Power Hydro  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,ECOSIMTEC. La Cellera de Ter - Girona  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</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>48</fpage>
<lpage>60</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S1815-59012021000200048&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S1815-59012021000200048&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S1815-59012021000200048&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN Las organizaciones que gestionan activos físicos, la figura del departamento de mantenimiento desarrolla su trabajo realizando una gestión de un presupuesto anual dedicado al mantenimiento y esperando que con mayor o menor fortuna no se produzca una avería grave y que la disponibilidad del activo sea la máxima. El articulo presenta un caso donde podemos identificar correctamente el estado del activo con herramientas de optimización del mantenimiento combinadas (amfe, análisis criticidad, análisis ciclo de vida y RCM) que pueden optimizar el presupuesto del mantenimiento (opex) pero que a la vez pueden servir como base de análisis de mejoras del activo (capex). Se define el &#8220;remantenimiento&#8221; como la combinación entre la optimización del mantenimiento y el rediseño del activo &#8220;reinventando&#8221; la función a cumplir por parte de los sistemas identificados como críticos en dicho análisis, y así poder justificar delante de la organización proyectos de mejora del activo como un incremento de ingresos del negocio y no simplemente como un gasto a tener que amortizar.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT In organizations that manage physical assets, the figure of the maintenance department carries out its work by managing an annual budget dedicated to maintenance and hoping that with greater or lesser luck there will not be a serious breakdown and that the availability of the asset is the maximum. The article presents a methodology where we can correctly identify the state of the asset with combined maintenance optimization tools (amfe, criticality analysis, life cycle analysis and RCM) that can optimize the maintenance budget and justify investments. "Remaintenance" is defined as the combination between the optimization of maintenance and the redesign of the asset "reinventing" the function to be fulfilled by the systems identified as critical in said analysis, and thus being able to justify before the organization projects to improve the asset as an increase in business income.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Remantenimiento]]></kwd>
<kwd lng="es"><![CDATA[Mantenimiento Centrado en Fiabilidad]]></kwd>
<kwd lng="es"><![CDATA[RCM]]></kwd>
<kwd lng="es"><![CDATA[Análisis de modos de fallo del Sistema]]></kwd>
<kwd lng="es"><![CDATA[CentralesHidroeléctricas]]></kwd>
<kwd lng="es"><![CDATA[Gestión de activos físicos]]></kwd>
<kwd lng="en"><![CDATA[Refurbishment]]></kwd>
<kwd lng="en"><![CDATA[Reliability Centered Maintenance]]></kwd>
<kwd lng="en"><![CDATA[RCM]]></kwd>
<kwd lng="en"><![CDATA[System Failure Mode Analysis]]></kwd>
<kwd lng="en"><![CDATA[Hydroelectric Power Plants]]></kwd>
<kwd lng="en"><![CDATA[Physical Asset Management]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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