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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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  <dc:creator>George Ioannou</dc:creator>
  <dc:creator>Thanos Tasakos</dc:creator>
  <dc:creator>Antonios Mylonakis</dc:creator>
  <dc:creator>Georgios Alexandridis</dc:creator>
  <dc:creator>Christophe Demazière</dc:creator>
  <dc:creator>Paolo Vinai</dc:creator>
  <dc:creator>Andreas Stafylopatis</dc:creator>
  <dc:date>2021-10-03</dc:date>
  <dc:description>Overview
•We propose a methodology for the comparison of measured and simulated neutron noise signals in nuclear power plants
•The key components of the proposed methodology are:
1.Auto-Power Spectral Density ofplant measurements in order to identify possible perturbation frequencies
2.Cross-Power Spectral Density between plant measurements and simulated data in order to identify possible perturbations
•Reactor core used in this study is a German 4-loop pre-KONVOI Pressurized Water Reactor</dc:description>
  <dc:identifier>https://zenodo.org/record/5575917</dc:identifier>
  <dc:identifier>10.5281/zenodo.5575917</dc:identifier>
  <dc:identifier>oai:zenodo.org:5575917</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/754316/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.5575916</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Feature Extraction &amp; Identification Techniques for the Alignment of Perturbation Simulations with Power Plant Measurements</dc:title>
  <dc:type>info:eu-repo/semantics/lecture</dc:type>
  <dc:type>presentation</dc:type>
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