Review of data quality indicators and metrics, and suggestions for indicators and metrics for structural health monitoring

Abstract Structural Health Monitoring (SHM) systems have been extensively implemented to deliver data support and safeguard structural safety in integrity management context. SHM relies on that can be noisy large amounts or scarce. Little work has done quality (DQ). Therefore, this article suggests DQ indicators recommends deterministic probabilistic metrics address uncertainties. This will allow better decision-making for management. first, the literature measures is thoroughly examined. Second, first time, necessary are identified, their definitions tailored. Then simplified suggested, more essentially offered embedded uncertainties account flow. A generic example of a bridge with permanent occasional monitoring provided. It helps understand influence flow choice allocated probability distribution functions. Finally, real case provided test feasibility suggested method within realistic