Resilience curves communicate system behavior and resilience properties to critical infrastructure stakeholders and can quantitatively facilitate resilient design. Generally, these curves illustrate the evolution of system performance before, during, and after a disruption. As simple as these curves may appear, the literature contains underexplored nuance when defining "performance" and distilling curves with summary metrics. This manuscript, through a review of 274 publications, defines a taxonomy of resilience curve performance measures and discusses associated performance targets and normalization techniques. Furthermore, a taxonomy of summary metrics is defined to facilitate comparisons of system behavior and resilience strategies. In addition to defining common taxonomies, this review synthesizes recommendations for selecting measures and metrics for common applications and stakeholders across critical infrastructure resilience domains. Key recommendations include broader adoption of productivity measures with variable and adaptive performance targets; deliberate consideration of curve milestones when defining summary metrics; and the need for future research on variable and adaptive weighting for ensemble measures and metrics.

翻译：一般来说,这些曲线显示了系统运行在中断之前、期间和之后的演变情况。这些曲线可能显得很简单,文献在界定“性能”和用简要指标蒸馏曲线时含有未得到充分探讨的细微差别。这份手稿通过对274份出版物的审查,界定了复原力曲线性能计量的分类,并讨论了相关的业绩指标和正常化技术。此外,还界定了汇总指标的分类,以便于比较系统行为和复原力战略。除了界定共同分类外,本审查还综合了为关键基础设施抗御力领域的共同应用和利益攸关方选择措施和指标的建议。主要建议包括更广泛地采用具有可变和适应性业绩目标的生产力措施;在界定摘要指标时,考虑曲线里程碑;以及今后需要就可变和适应性加权的全套措施和指标进行研究。