<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href='static/style.xsl' type='text/xsl'?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-07T12:47:19Z</responseDate><request verb="GetRecord" identifier="oai:ebiltegia.mondragon.edu:20.500.11984/1174" metadataPrefix="rdf">https://ebiltegia.mondragon.edu/oai/request</request><GetRecord><record><header><identifier>oai:ebiltegia.mondragon.edu:20.500.11984/1174</identifier><datestamp>2024-03-04T13:50:42Z</datestamp><setSpec>com_20.500.11984_1143</setSpec><setSpec>col_20.500.11984_1148</setSpec></header><metadata><rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
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      <dc:title>Implementation of a Reference Architecture for Cyber Physical Systems to support Condition Based Maintenance</dc:title>
      <dc:creator>Larrinaga, Felix</dc:creator>
      <dc:creator>Garitano, Iñaki</dc:creator>
      <dc:creator>Zugasti, Ekhi</dc:creator>
      <dc:creator>Zurutuza, Urko</dc:creator>
      <dc:contributor>Fernandez Anakabe, Javier</dc:contributor>
      <dc:subject>Industry 4.0.</dc:subject>
      <dc:subject>Reference  Architecture</dc:subject>
      <dc:subject>Condition based maintenance CBM</dc:subject>
      <dc:subject>Cyber Physical Systems CPS</dc:subject>
      <dc:description>This paper presents the implementation of a refer-ence architecture for Cyber Physical Systems (CPS) to supportCondition Based Maintenance (CBM) of industrial assets. The article  focuses on describing how the MANTIS ReferenceArchitecture is implemented to support predictive maintenance of clutch-brake  assets  fleet,  and  includes  the  data  analysis techniques and algorithms implemented at platform level to facilitate predictive maintenance  activities.  These  technologiesare  (1)  Root  Cause  Analysis  powered  by  Attribute  Oriented Induction Clustering and (2) Remaining Useful Life powered by Time Series Forecasting. The work has been conducted in a real use case within the EU project  MANTIS.</dc:description>
      <dc:date>2019-02-28T16:30:10Z</dc:date>
      <dc:date>2019-02-28T16:30:10Z</dc:date>
      <dc:date>2018</dc:date>
      <dc:type>http://purl.org/coar/resource_type/c_c94f</dc:type>
      <dc:identifier>https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&amp;ficha_no=145624</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.11984/1174</dc:identifier>
      <dc:language>eng</dc:language>
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