Published January 13, 2021 | Version v1
Presentation Open

Machine learning techniques for anomaly detection and for the alignment of perturbation simulations with power plant measurements

  • 1. National Technical University of Athens

Description

Main Objectives

Detect anomalies in nuclear reactors using non‐intrusive methodologies
Anomalies
• Excessive vibrations of core internals
• Flow blockage
• Coolant inlet perturbations
• Combination of the above
• …
Non‐intrusiveness
• Measure the inherent fluctuations in neutron flux recorded by in‐core and ex‐core
detectors
• No external perturbation of the system is required

More information can be found in the presentation file

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2021_Alexandridis_SAINT_presentation_V1.pdf

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Additional details

Funding

CORTEX – Core monitoring techniques and experimental validation and demonstration 754316
European Commission