<?xml version="1.0" encoding="utf-8"?>
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    <id>2507</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>19</pageNumber>
    <edition/>
    <issue/>
    <volume>206</volume>
    <type>article</type>
    <publisherName>Elsevier BV</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Literature Review Framework and Open Research Challenges for Predictive Maintenance in Industry 4.0</title>
    <parentTitle language="eng">Computers &amp; Industrial Engineering</parentTitle>
    <identifier type="issn">0360-8352</identifier>
    <identifier type="doi">10.1016/j.cie.2025.111193</identifier>
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    <enrichment key="opus_import_data">ok</enrichment>
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    <enrichment key="frontdoor_url">https://opus4.kobv.de/opus4-hs-augsburg/2507</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC-BY Namensnennung 4.0 International</licence>
    <author>Lukas Meitz</author>
    <author>Julia Senge</author>
    <author>Tim Wagenhals</author>
    <author>Thorsten Schöler</author>
    <author>Jörg Hähner</author>
    <author>Janick Edinger</author>
    <author>Christian Krupitzer</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>machine learning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>predictive maintenance</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Industry 4.0</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Industrial IoT</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>forecasting</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>anomaly detection</value>
    </subject>
    <collection role="ddc" number="004">Datenverarbeitung; Informatik</collection>
    <collection role="institutes" number="">Fakultät für Informatik</collection>
    <collection role="persons" number="schöler">Schöler, Thorsten (Prof. Dr.-Ing. Hon. Dr. of ONPU)</collection>
    <collection role="DFG-Fachsystematik" number="409">Informatik</collection>
    <collection role="ifg" number="">Graduate School</collection>
  </doc>
</export-example>
