Risk assessment on abnormal accidents from human errors during decommissioning of nuclear facilities

Jeong, Kwan-Seong; Choi, Byung-Soon; Moon, Jei‐Kwon; Hyun, Dae Sung; Lee, Jong‐Hwan; Kim, Ikjune; Kim, Geun-Ho; Kang, Shin Young

doi:10.1016/j.anucene.2015.08.009

Cited by 17 publications

(5 citation statements)

References 6 publications

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“…Nevertheless, despite all the research carried out in the past decades on the analysis of human factors in accident analysis, there are still some open questions and limitations (Jeong et al, 2016). In particular, the main limitations of the above describe techniques lie in the fact that the human element contribution into an accident is difficult to quantify, therefore there is the necessity of applying expert judgement.…”

Section: Introductionmentioning

confidence: 99%

Determining the most influential human factors in maritime accidents: A data-driven approach

et al. 2020

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Marine accidents are complex processes in which many factors are involved and contribute to accident development. For this reason, effectively analyse what combination of factors lead an accident event is a complex problem, especially when human factors are involved. State-of-the-art methods such as Human Factor Analysis and Classification System, Human reliability Assessments, and simple Statistical Analysis are not effective in many situations since they require the intervention of human experts with their limitations, biases, and high costs. The authors propose to use a data-driven approach able to utilise the information present in historical databases of marine accident for the purposes of establishing the most influential human factors. For this purpose a two-stage approach is presented: first, a data-driven predictive model is built able to predict the type of accident based on the contributing factors, and then the different contributing factors are ranked based on their ability to influence the prediction. Results on a real historical database of accidents provided by the Marine Accident Investigation Branch will support the proposed novel approach.

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Section: Introductionmentioning

confidence: 99%

Determining the most influential human factors in maritime accidents: A data-driven approach

et al. 2020

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“…Those risks that, after consideration, are categorized as falling in the red area of the risk matrix would be the primary focus of a prudent project risk management team. A typical risk matrix associated with the plant would have a large number of risks (represented by their numbers) scattered across the matrix shown, rather than just a single number [13][14]. Risk assessment matrix is a tool to conduct a subjective risk assessment.…”

Section: Risk Matrix Methodologymentioning

confidence: 99%

Risk Analysis using Fuzzy System based Risk Matrix Methodology

Zaky

2018

Arab Journal of Nuclear Sciences and Applications

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This paper proposes a new risk assessment methodology using fuzzy logic model based on the risk matrix information and applications to the nuclear facilities. The structure of the fuzzy Inference System (FIS) is formed in fuzzifier, knowledge base and defuzzifier. Applications of the fuzzy system involves analyzing and managing the risk in nuclear reactors based on the classification of the events information. The input and output of the fuzzy system are simulated in crisp value. The proposed fuzzy model; and operator experiences were the devices for making the rules and inherent connection between variables in fuzzy model. Fuzzy logic is one of the intelligence systems and it has wide range applications in fault analysis, event classification, accident analysis, safety and risk assessment. The structure of risk matrix reflects the shape of the membership functions and the If-Then rules of the fuzzy model design. The risk matrix is simulated in the fuzzy approach to make it easier as a model based on If-Then rules. Simulation results illustrated that fuzzy logic system gives many advantages for risk assessment such as the dynamic modeling in If-Then rules.

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“…Following the nuclear accident at the Fukushima nuclear power plant in 2011, concerns and debates surrounding nuclear facilities have grown [84]. Numerous studies have shown that human errors are often the primary cause of nuclear accidents [85][86][87]. Suh and Yim [87] emphasized the significance of workers' fitness for duty (FFD), which refers to their mental and physical ability to safely perform their jobs, in reducing human errors.…”

Section: Risk Analysis and Management In The Renewable Energy Revolutionmentioning

confidence: 99%

A Bibliometric and Scientometric Network Analysis of Occupational Safety and Health in the Electric Power Industry: Future Implication of Digital Pathways

Wong,

Meng

2024

Sustainability

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(1) Background: The demand for electricity in rural and urban areas has given rise to numerous related industries, resulting in perilous working conditions and a significant number of safety accidents for workers. In recent years, there has been an increasing focus on improving occupational safety and health in the electric power industry. However, the lack of a systematic review or the integration of disaggregated studies has hindered our understanding of the state of the development of this research field. This study aims to provide bibliometric and scientometric network analyses and explore the untapped potential of digital pathways. (2) Methods: A bibliometric analysis focused on the research cooperation, author keywords, and journal co-citation patterns of studies was carried out, while a temporal trend analysis was employed to identify topical focuses and trends for further research on the occupational safety and health of electrical workers. Papers were searched for across three databases, namely Web of Science, Scopus, and Google Scholar. Using “occupational safety and health” and “electric power industry” as keywords, the articles published from 1991 to 2022 were retrieved. (3) Results: A total of 608 articles published from 1991 to 2022 were collected for the bibliometric analysis. Four clusters were successfully recognized in the search results after adopting the process of cluster analysis based on a total of 608 articles. As for the countries, most of the publications and citations came from the United States. The most frequent keywords were safety, exposure assessment, electrocution, and electrical injury. (4) Conclusions: This is the first study to highlight occupational safety and health in the electric power industry and provides valuable insights into the knowledge structure, emerging trends, and future directions through the lens of digital pathways. This study sheds light on the importance of digital pathways in enhancing occupational safety and health practices within the industry. The findings contribute to the fields of occupational safety management and health promotion, providing a foundation for future research and interventions aimed at improving safety conditions and promoting the well-being of personnel in the electric power industry.

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Risk assessment on abnormal accidents from human errors during decommissioning of nuclear facilities

Cited by 17 publications

References 6 publications

Determining the most influential human factors in maritime accidents: A data-driven approach

Determining the most influential human factors in maritime accidents: A data-driven approach

Risk Analysis using Fuzzy System based Risk Matrix Methodology

A Bibliometric and Scientometric Network Analysis of Occupational Safety and Health in the Electric Power Industry: Future Implication of Digital Pathways

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