相互依存
弹性(材料科学)
杠杆(统计)
计算机科学
风险分析(工程)
领域(数学分析)
可靠性(半导体)
人类系统工程
关键基础设施
系统动力学
可靠性工程
系统工程
工程类
计算机安全
人工智能
业务
物理
热力学
数学分析
功率(物理)
数学
量子力学
政治学
法学
作者
Joseph Jonathan Magoua,Fei Wang,Nan Li,Dongping Fang
标识
DOI:10.1016/j.autcon.2023.104789
摘要
The human factor of critical infrastructure systems (CISs), which refers to the impact of various human characteristics on system operations and management, is a significant contributor to failures in CISs. Advanced techniques for simulating the dynamic influence between the human and technical aspects of CISs are needed for understanding the evolution of man-made disasters in CISs and proposing measures for improving CISs reliability and resilience. Hence, this paper proposes a high-level architecture (HLA) based framework for co-simulating CISs domain-specific models and human performance models and analyzing dynamic human-system interactions. A case study demonstrates the efficacy of the proposed framework in simulating complex feedback loops between the operator performance and system states. The proposed framework is valuable for CISs managers in identifying potential human-related failure points in the systems and making informed decisions to mitigate them. Moreover, future research can leverage the proposed framework for improving the resilience assessment of CISs.
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