A methodology to identify and assess high-risk causes for electrical personal accidents based on directed weighted CN

Hengqi Zhang and Hua Geng

Reliability Engineering and System Safety, 2023, vol. 231, issue C

Abstract: Many electrical personal accidents occurred repeatedly due to similar high-risk causes, and the lack of making targeted measures has brought challenges to the risk control. This paper proposes a methodology to identify and assess the high-risk causes of electrical personal accidents based on directed weighted complex network (CN). In this methodology, the electrical personal accident causation network (EPACN) is constructed according to accident reports, representing the complex interaction relationships between various events. Aiming at identifying the causes with high accident risks, a weighted betweenness centrality (WBC) is proposed. In addition, the occurrence probability of a complete accident chain is estimated based on the cascading failure theory. Then a risk metric called SFP is proposed to implement the risk assessment, which combines the consequence severity, the frequency of causes and the occurrence probability of the accident chains. The proposed method is verified on five types of electrical personal accidents, which reveals the high-risk causative events effectively. Taking targeted measures to high-risk causes can provide references for enterprises and enhance the safety of electrical operations.

Keywords: Electrical personal accidents; Causation network; Weighted betweenness; Risk metric (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006421

DOI: 10.1016/j.ress.2022.109027

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