Combining simulations and machine learning for neutron noise-based core diagnostics

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type , Article 01 Jan 2021 Sweden English Publisher:ZenodoFunded by:EC | CORTEX

Authors: Demaziere, Christophe;

doi: 10.5281/zenodo.5638779 , 10.5281/zenodo.5638768 , 10.5281/zenodo.5638769 , 10.5281/zenodo.5638778

Combining simulations and machine learning for neutron noise-based core diagnostics

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Abstract

Introduction and background Fluctuations could be used for “diagnostics”, i.e.: • Early detection of anomalies • Estimation of dynamical system characteristics … even if the system is operating at steady-state conditions Fluctuations in the neutron density in nuclear reactors can be used for core diagnostics and monitoring

Country

Sweden

Related Organizations

Chalmers University of Technology
Sweden

Keywords

core monitoring and diagnostics, machine learning, Other Physics Topics, neutron noise

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