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Author

Xiao-Meng Dong

2 papers indexed here

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Conference Aug 2026

A Hybrid LSTM–Transformer Framework for Rolling Bearing Fault Diagnosis with Time-Frequency Feature Learning

Rolling bearing fault diagnosis is essential for ensuring the reliability and safety of rotating machinery in nuclear industry applications. To improve diagnostic accuracy and robustness in noisy diagnostic environments, this paper proposes a hybrid deep learning model combining Long Short-Term Memory (LSTM) and Transf...

Guo-Ming Yin, An-Qi Xu, Yong Liu et al. · 0 citations
Conference Aug 2026

Historical-Boundary-Condition-Based POD-MLP Surrogate Modeling for Transient Thermal-Hydraulic Prediction in Rod-Bundle Channels

Fast and accurate prediction of transient thermalhydraulic parameters is essential for reliability assessment and safety-margin evaluation in safety-critical nuclear reactor components. However, high-fidelity computational-fluiddynamics simulations are computationally prohibitive for the many-query scenarios required b...

Yu-Zhao Ye, Xiao-Meng Dong, An-Qi Xu et al. · 0 citations

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