Methodology of Nuclear Reactor Monitoring and Diagnostics Using Information Dimension. Application to Power Oscillation.

抄録

Reactor noise analysis method based on information dimension is applied to the monitoring and diagnosing of power oscillation. The method focuses on the utilization of the slope of the correlation integral (SOCI) which determines the information dimension of attractors. For practical application, the information dimension is expected to be the same as the fractal dimension of attractors ; it can be used to classify different asymptotic regimes of nonlinear dynamical systems.<BR>We examined a real power oscillation using SOCI and the results implied that the oscillation was just a noisy limit cycle, although it is not possible to assert that there is no chaotic character in the oscillation because large oscillatory time-series data sets are not available. In addition, the application of SOCI to the realtime monitoring of power oscillation is proposed and examined.

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詳細情報 詳細情報について

  • CRID
    1390282679071588736
  • NII論文ID
    130000825854
  • DOI
    10.3327/jnst.30.727
  • COI
    1:CAS:528:DyaK3sXmtlKis74%3D
  • ISSN
    18811248
    00223131
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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