Presentation Open Access

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


Citation Style Language JSON Export

{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5575917", 
  "language": "eng", 
  "title": "Feature Extraction & Identification Techniques for the Alignment of Perturbation Simulations with Power Plant Measurements", 
  "issued": {
    "date-parts": [
      [
        2021, 
        10, 
        3
      ]
    ]
  }, 
  "abstract": "<p>Overview<br>\n&bull;We propose a methodology for the comparison of measured and simulated neutron noise signals in nuclear power plants<br>\n&bull;The key components of the proposed methodology are:<br>\n1.Auto-Power Spectral Density ofplant measurements in order to identify possible perturbation frequencies<br>\n2.Cross-Power Spectral Density between plant measurements and simulated data in order to identify possible perturbations<br>\n&bull;Reactor core used in this study is a German 4-loop pre-KONVOI Pressurized Water Reactor</p>", 
  "author": [
    {
      "family": "George Ioannou"
    }, 
    {
      "family": "Thanos Tasakos"
    }, 
    {
      "family": "Antonios Mylonakis"
    }, 
    {
      "family": "Georgios Alexandridis"
    }, 
    {
      "family": "Christophe Demazi\u00e8re"
    }, 
    {
      "family": "Paolo Vinai"
    }, 
    {
      "family": "Andreas Stafylopatis"
    }
  ], 
  "id": "5575917", 
  "type": "speech", 
  "event": "Int. Conf. Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C2021)"
}
23
12
views
downloads
All versions This version
Views 2323
Downloads 1212
Data volume 14.6 MB14.6 MB
Unique views 2222
Unique downloads 1010

Share

Cite as