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Tracking the Complexity of Interactions Between Risk Incidents and Engineering Systems

机译:跟踪风险事件与工程系统之间交互的复杂性

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摘要

Large-scale engineering systems increasingly contend with massive databases of incident reports pertaining to risk and security. With appropriate processing and analysis, these databases can be offered as inputs to system risk assessments. This paper develops an automated detection of anomalies in an evolving set of incidents associated with engineering systems. It adopts a definition of a system-to-incident interaction, which associates one or more system components with an incident. An interaction is direct when a specific association of system and incident is clear, e.g., discovered in the text narrative of an incident report. An interaction is indirect when the relationship is not obvious and builds on how components relate to others in the system. Statistical process control (SPC) is adopted to analyze a sequence of incident reports. The variables—(ⅰ) interaction entropy and (ⅱ) interaction informativity—are used in control charts to track the evolving complexity of the frequency counts of interactions. An example describes risk identification for an oil distribution system. A probability-based characterization of the strength of interaction is introduced as a direction of future effort.
机译:大型工程系统越来越多地与有关风险和安全性的事件报告大型数据库竞争。通过适当的处理和分析,这些数据库可以作为系统风险评估的输入。本文开发了与工程系统相关的不断变化的事件中的异常的自动检测。它采用了系统到事件交互的定义,该定义将一个或多个系统组件与事件相关联。当明确的系统和事件的特定关联时(例如,在事件报告的文本叙述中发现),交互是直接的。当关系不明显时,交互是间接的,并且建立在组件与系统中其他组件之间的关系上。采用统计过程控制(SPC)来分析一系列事件报告。变量(交互作用熵和交互作用信息量)在控制图中用于跟踪交互作用频率计数不断变化的复杂性。一个示例描述了石油分配系统的风险识别。基于概率的交互作用强度描述是未来工作的方向。

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