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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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    <subfield code="a">Feature Extraction &amp; Identification Techniques for the Alignment of Perturbation Simulations with Power Plant Measurements</subfield>
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    <subfield code="a">Core monitoring techniques and experimental validation and demonstration</subfield>
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    <subfield code="a">&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;</subfield>
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