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

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

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