山东电力技术2025，Vol.52Issue(3)：75-85,11.DOI:10.20097/j.cnki.issn1007-9904.2025.02.009
基于CiteSpace的核电机组故障诊断发展趋势分析
Analysis of Development Trends in Fault Diagnosis of Nuclear Power Units Based on CiteSpace
摘要
Abstract
As a kind of clean energy,nuclear power plays a pivotal role in optimizing energy structure,ensuring energy security,and contributing to the achievement of the"dual carbon"goals in China.Ensuring the safe operation of nuclear power units is paramount.In this paper,CiteSpace 6.1.6 software is utilized to quantitatively analyze the related research on fault diagnosis of nuclear power units in the China National Knowledge Infrastructure(CNKI)and Web of Science(WOS)databases from 2009 to 2024.The study indicates that in this field,the main body of domestic publications is the research institute,while universities take the lead of international literature.Fault diagnosis technology has transitioned from expert-driven to data-driven approaches.The hotspot trend can be summarized as online monitoring/performance monitoring,preventive maintenance,machine learning/principal component analysis,and deep learning/convolutional neural networks.The hotspots of the digitalization process of nuclear power plant are instrument control system,human factor engineering,intelligent operation and maintenance,and digital twin.According to the analysis of literature results,future applications of artificial intelligence algorithms in the field of nuclear power fault diagnosis will contribute to improving the diagnostic accuracy and enhancing interpretability.关键词
核电机组/故障诊断/核电数字化/CiteSpace软件Key words
nuclear power unit/fault diagnosis/digital nuclear power/CiteSpace software分类
计算机与自动化引用本文复制引用
李蔚,李翱,方兴煜,卢韩斌,林小杰,尚宪和..基于CiteSpace的核电机组故障诊断发展趋势分析[J].山东电力技术,2025,52(3):75-85,11.基金项目
国家自然科学基金项目(51806190).National Natural Science Foundation of China(51806190). （51806190）
