A deep learning-based prognostic approach for predicting PWR degradation and remaining useful life using GNN-PTC-LSTM

Annals of Nuclear Energy 2026

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Authors: Shadman Ahmad Khattak, Liu Yong-Kuo, Liu Yu-Kun, Gao Jia-Rong, Shi Zhou-Xin, Liu Ji

DOI: 10.1016/j.anucene.2026.112172

Cited by: 3

References: 19

Fields of Study & Subjects

Fault Detection and Control Systems Nuclear Engineering Thermal-Hydraulics Machine Fault Diagnosis Techniques

References 19