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Feature Extraction & Identification Techniques for the Alignment of Perturbation Simulations with Power Plant Measurements

George Ioannou; Thanos Tasakos; Antonios Mylonakis; Georgios Alexandridis; Christophe Demazière; Paolo Vinai; Andreas Stafylopatis


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  <identifier identifierType="DOI">10.5281/zenodo.5575917</identifier>
  <creators>
    <creator>
      <creatorName>George Ioannou</creatorName>
      <affiliation>Institute of Communication and Computer Systems National Technical University of Athens</affiliation>
    </creator>
    <creator>
      <creatorName>Thanos Tasakos</creatorName>
      <affiliation>Institute of Communication and Computer Systems National Technical University of Athens</affiliation>
    </creator>
    <creator>
      <creatorName>Antonios Mylonakis</creatorName>
      <affiliation>Chalmers University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Georgios Alexandridis</creatorName>
      <affiliation>Institute of Communication and Computer Systems National Technical University of Athens</affiliation>
    </creator>
    <creator>
      <creatorName>Christophe Demazière</creatorName>
      <affiliation>Chalmers University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Paolo Vinai</creatorName>
      <affiliation>Chalmers University of Technology</affiliation>
    </creator>
    <creator>
      <creatorName>Andreas Stafylopatis</creatorName>
      <affiliation>Institute of Communication and Computer Systems National Technical University of Athens</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Feature Extraction &amp; Identification Techniques for the Alignment of Perturbation Simulations with Power Plant Measurements</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <dates>
    <date dateType="Issued">2021-10-03</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5575917</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5575916</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Overview&lt;br&gt;
&amp;bull;We propose a methodology for the comparison of measured and simulated neutron noise signals in nuclear power plants&lt;br&gt;
&amp;bull;The key components of the proposed methodology are:&lt;br&gt;
1.Auto-Power Spectral Density ofplant measurements in order to identify possible perturbation frequencies&lt;br&gt;
2.Cross-Power Spectral Density between plant measurements and simulated data in order to identify possible perturbations&lt;br&gt;
&amp;bull;Reactor core used in this study is a German 4-loop pre-KONVOI Pressurized Water Reactor&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/754316/">754316</awardNumber>
      <awardTitle>Core monitoring techniques and experimental validation and demonstration</awardTitle>
    </fundingReference>
  </fundingReferences>
</resource>
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