Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications

Deep learning-based dual monitoring system for power forecasting and fault detection in nuclear power applications

Monitoring key parameters in nuclear power plant control rooms is critical, as human errors can result in severe safety and operational consequences. This study proposes a hybrid framework for power prediction and fault detection that integrates multi-head self-attention mechanisms with long short-t...

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Bibliographic Details
Main Authors: Mingzhe Lyu, Helin Gong, Zhang Chen, Jiangyu Wang, Mingxiao Zhong, Zhiyong Wang, Qing Li, Zefei Pan
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Energy and AI
Subjects:
Power prediction
Long short-term memory
Self-attention
Fault diagnosis
Artificial intelligence
Nuclear power plants
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000473
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