Presentation Open Access

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

G. Alexandridis

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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