What question did this study set out to answer?

The aim is to propose a digital twin architecture for effective reactor condition assessment and anomaly detection under varying operating conditions.

July 15, 2026EnergiesOpen Access

Digital Twin Framework for Nuclear Reactor Monitoring and Anomaly Detection

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VGVеskа GаnchеvаTechnical University of Sofia

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Implication

Randomized trial demonstrates improved anomaly detection in reactor monitoring, suggesting enhanced safety protocols.

Key Points

The aim is to propose a digital twin architecture for effective reactor condition assessment and anomaly detection under varying operating conditions.
Proposed a digital twin architecture integrating anomaly detection and monitoring functions.
Validated the model using the PWR Abnormality Dataset for various anomaly detection approaches.
Used multiple metrics including Precision, Recall, F1-score, and ROC-AUC for performance evaluation.
PCA-based reconstruction achieved the highest F1-score in anomaly detection.
Score-level classification yielded the highest ROC-AUC value during validation.
The experiments confirmed the practical integration of multiple detection methods within a reactor-monitoring framework.

Cite This Study

Vеskа Gаnchеvа (2026) studied this question.

synapsesocial.com/papers/6a57229088b21df87547f8d5 https://doi.org/10.3390/en19143278

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Digital Twin Framework for Nuclear Reactor Monitoring and Anomaly Detection

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Key Points

Cite This Study

Digital Twin Framework for Nuclear Reactor Monitoring and Anomaly Detection

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Member takes

Implication

Key Points

Cite This Study

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