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Assessment of Dependent performance shaping factors in SPAR-H Based on Pearson Correlation Coefficient

Computer Modeling in Engineering & Sciences 2024年第2期138卷 1813-1826页

作者： Xiaoyan Su Shuwen Shang Zhihui Xu Hong Qian Xiaolei Pan School of Automation Engineering Shanghai University of Electric PowerShanghai 200090China State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Shenzhen518172China

With the improvement of equipment reliability,human factors have become the most uncertain part in the *** standardized Plant Analysis of Risk-Human Reliability Analysis(SPAR-H)method is a reliable method in the field of human reliability analysis(HRA)to evaluate human reliability and assess risk in large complex ***,the classical SPAR-H method does not consider the dependencies among performance shaping factors(PSFs),whichmay cause overestimation or underestimation of the risk of the actual *** address this issue,this paper proposes a new method to deal with the dependencies among PSFs in SPAR-H based on the Pearson correlation ***,the dependence between every two PSFs is measured by the Pearson correlation ***,the weights of the PSFs are obtained by considering the total dependence ***,PSFs’multipliers are modified based on the weights of corresponding PSFs,and then used in the calculating of human error probability(HEP).A case study is used to illustrate the procedure and effectiveness of the proposed method.

关键词： Reliability evaluation human reliability analysis SPAR-H performance shaping factors dependence pearson correlation analysis

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Evaluation of Driver-Induced Human Errors in Smart Construction Tower Crane Operations Based on DEMATEL-ISM-MICMAC

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Journal of Applied Mathematics and Physics 2024年第4期12卷 1541-1556页

作者： Jiahao Wang Wen Si School of Business Administration Liaoning Technical University Fuxin China

With the advent of Industry 4.0, smart construction sites have seen significant development in China. However, accidents involving digitized tower cranes continue to be a persistent issue. Among the contributing factors, human unsafe behavior stands out as a primary cause for these incidents. This study aims to assess the human reliability of tower crane operations on smart construction sites. To proactively enhance safety measures, the research employs text mining techniques (TF-IDF-Truncated SVD-Complement NB) to identify patterns of human errors among tower crane operators. Building upon the SHEL model, the study categorizes behavioral factors affecting human reliability in the man-machine interface, leading to the establishment of the performance shaping factors (PSFs) system. Furthermore, the research constructs an error impact indicator system for the intelligent construction site tower crane operator interface. Using the DEMATEL method, it analyzes the significance of various factors influencing human errors in tower crane operations. Additionally, the ISM-MICMAC method is applied to unveil the hierarchical relationships and driving-dependent connections among these influencing factors. The findings indicate that personal state, operating procedures, and physical environment directly impact human errors, while personal capability, technological environment, and one fundamental organizational management factor contribute indirectly. .

关键词： Text Mining DEMATEL-ISM-MICMAC performance shaping factors Smart Construction Tower Crane Operator

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