Abstract:Early identification of operational failures or faults is of vital importance for the prevention and mitigation of nuclear power plant (NPP) accidents. Various research efforts have been devoted to developing efficient accident diagnostic methods. Among them is the most promising artificial intelligence (AI) technology which makes use of plant status monitoring data for accident identification. However, the AI-based approaches are concerned with the difficulty in combining robustness and interpretability, i.e.… Show more
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