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.
@article{arxiv.2106.04988,
title = {Optimal Inspection of Network Systems via Value of Information Analysis},
author = {Chaochao Lin and Junho Song and Matteo Pozzi},
journal= {arXiv preprint arXiv:2106.04988},
year = {2021}
}