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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v8i5.15137</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application and Prospects of Human Error Safety Analysis in Nuclear Power</title><url>https://artdesignp.com/journal/SSR/8/5/10.26689/ssr.v8i5.15137</url><author>TangLihong,ZhangTao,PuHengtao,HeShanhong</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>8</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-05</published-time></date></history><abstract>Based on the analysis of the scientific concept of human error and the developmental stages of human reliability analysis methods, combined with the current research status of human reliability analysis and human error safety analysis methods in nuclear power, this paper analyzes methods for human error safety analysis in nuclear power from the perspectives of personnel, organization, system, and accident analysis. It summarizes the existing shortcomings of current human error safety analysis methods in nuclear power from the perspectives of data, model, system, and application, and proposes the future development direction of human error safety analysis technology in nuclear power from the perspectives of data, model, system, and application. It is proposed that Class B human errors during the digital transformation of nuclear power should not be overlooked, and human error safety analysis methods should be applied to jointly optimize the digital transformation path of nuclear power, improve the analytical capability for Class B human error events, and reduce the safety risks caused by potential human errors during the digital transformation process.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xu YL, Liu W, Zheng LX et al., 2023, Statistical Analysis and Recommendations on Human-Related Operational Events at Nuclear Power Plants Over the Past Five Years. Nuclear Safety, 22(1): 49–54.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Zhang J, 2023, Research on Human Error Analysis and Prevention Control in Nuclear Power Plants. Modern Occupational Safety, 2023(7): 66–68.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>National Nuclear Safety Administration, 2022, Nuclear Safety Guide: Deterministic Safety Analysis for Nuclear Power Plants, 1–135.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Xu ZH, Liu P, Jia M, et al., 2023, Research on Human Factor Safety Analysis Methods for Nuclear Power Plants Based on International Project Practices. Nuclear Science and Engineering, 43(5): 996–1003.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Gemma JMR, Steven S, Guy HW, et al., 2022, State of Science: Evolving Perspectives on “Human Error”. Ergonomics, 2022(64): 1091–1114.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Tao Z, Tian W, Pan WW, et al., 2022, Prospects of Nuclear Power Plant Operation and Maintenance Technology in the Era of Artificial Intelligence. 2022 3rd International Conference on Service Robotics Technologies: ACM, 2022.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Zhang T, Liu SZ, Pan WW, et al., 2022, Nuclear Power Sustainability Path for China from the Perspective of Operations. Science and Technology of Nuclear Installations, 2022: 1–12.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Li HB, Hu P, 2021, Research on the Definition and Classification of Causal Factors for Human Error Events in Nuclear Power Plants. Nuclear Safety, 20(4): 56–60.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Li PC, Liu XH, 2022, Study on the Mechanism of Human Error in Nuclear Power Plants: QAP Analysis. Journal of Nanhua University (Social Science Edition), 23(5): 1–15.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Liu YQ, Zhang L, Liu XY, et al., 2021, Evaluation Model for Behavioral Formation Factors of Operators in the Digital Main Control Rooms of Nuclear Power Plants. Atomic Energy Science and Technology, 55(5): 926–930.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
