Recommendations for core monitoring to enhance the detection and discrimination of anomalies by neutron noise measurements
Paper in proceeding, 2022

In the H2020 CORTEX project, an interdisciplinary team developed neutron noise-based core monitoring techniques implemented as methods and tools based on the approaches of machine learning and artificial intelligence. These methods and tools allow the detection of anomalies in commercial nuclear reactor cores during operation by using the measurements of the fluctuations of the neutron flux – the so-called neutron noise – by very few detectors. The sensitivity of the techniques to changes of different inputs and model parameters were analyzed. Based on these analyses together with the return of experience gained from the operational history of neutron noise measurements, recommendations were derived on how the applicability and the accuracy of the newly developed methods and tools can be improved.

neutron noise

core monitoring techniques

Author

Joachim Herb

Gesellschaft für Anlagen- und Reaktorsicherheit (GRS)

Christoph Bläsius

Gesellschaft für Anlagen- und Reaktorsicherheit (GRS)

Christophe Demaziere

Chalmers, Physics, Subatomic, High Energy and Plasma Physics

Petr Stulik

UJV Rez

Jindrich Machek

UJV Rez

Kerntechnik

0932-3902 (ISSN)

Vol. Proceedings 2022

Kerntechnik 2022
Leipzig, Germany,

Core monitoring techniques and experimental validation and demonstration (CORTEX)

European Commission (EC) (EC/H2020/754316), 2017-09-01 -- 2021-08-31.

Areas of Advance

Energy

Subject Categories

Other Physics Topics

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Latest update

2/23/2023