This paper develops computable metrics to assign priorities for information collection on network systems made up by binary components. Components are worth inspecting because their condition state is uncertain and the system functioning depends on it. The Value of Information (VoI) allows assessing the impact of information in decision making under uncertainty, including the precision of the observation, the available actions and the expected economic loss. Some VoI-based metrics for system-level and component-level maintenance actions, defined as "global" and "local" metrics, respectively, are introduced, analyzed and applied to series and parallel systems. Their computationally complexity of applications to general networks is discussed and, to tame the complexity for the local metric assessment, a heuristic is presented and its performance is compared on some case studies.

中文翻译：

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基于信息分析价值的网络系统优化检测

本文开发了可计算的度量标准，为由二进制组件组成的网络系统上的信息收集分配优先级。组件值得检查，因为它们的状态状态是不确定的，系统功能依赖于它。信息价值 (VOI) 允许评估信息在不确定性下的决策影响，包括观察的精度、可用的行动和预期的经济损失。系统级和组件级维护操作的一些基于 VoI 的度量，分别定义为“全局”和“本地”度量，被引入、分析并应用于串联和并联系统。讨论了它们在通用网络中应用的计算复杂性，并控制了本地度量评估的复杂性，