Issue |
SHS Web Conf.
Volume 169, 2023
4th International Symposium on Frontiers of Economics and Management Science (FEMS 2023)
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Article Number | 01001 | |
Number of page(s) | 5 | |
DOI | https://doi.org/10.1051/shsconf/202316901001 | |
Published online | 29 May 2023 |
Research on Human Factors Reliability of Electric Power Enterprises Based on HFCRA Model
1 Xi’an Thermal Power Research Institute Co.,Ltd, Xi’an 710000, China
2 Jiangsu Nuclear Power Co., Ltd, Lian Yungang 222042, China
3 Huaneng Xiapu Nuclear Power Co., Ltd, Ning De 352100, China
4 Nuclear Power Operation Research (Shanghai) Co., Ltd, Shanghai 200131, China.
Based on Bayesian network, this paper establishes a human factor analysis tool-Human Factor Classification and Reliability Analysis (HFCRA) model, and analyzes the key factors of human error in power enterprises by combining the human events and data of power safety over the years The research shows that the root causes of human error in electric power enterprises are mainly organizational defects of external human factors and poor personal ability of internal human factors Among them, poor education, training, organizational culture and organizational management quality are the key sub-causes of organizational defects. The lack of basic operation skills and experience knowledge of operators is the key sub-cause of poor personal ability. We should focus on these two kinds of human factors and take corrective measures The internal and external factors of human factors have the characteristics of mutual restriction and transformation, so the occurrence of operational errors in power enterprises should be avoided systematically.
Key words: HFCRA model / Bayesian network / Human error / Organizational defects / Personal ability
© The Authors, published by EDP Sciences, 2023
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