• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Reliability engineering & system safety >A methodology to identify and assess high-risk causes for electrical personal accidents based on directed weighted CN
【24h】

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

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

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相关主题

摘要

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 (W BC) 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 S F P 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.

著录项

获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号