Structural health monitoring (SHM) has been increasingly exploited in recent years as a valuable tool for assessing performance throughout the life cycle of structural systems, as well as for supporting decision‐making and maintenance planning. Although a great assortment of SHM methods has been developed, only a limited number of studies exist serving as reference basis for the comparison of different techniques. In this paper, the vibration‐based assessment of a small‐scale wind turbine (WT) blade is experimentally investigated, with the aim of establishing a benchmark case study for the SHM community. The structure under consideration, provided by Sonkyo Energy as part of the Windspot 3.5 kW WT model, is tested in both healthy and damaged states under varying environmental, that is, temperature, conditions as imposed by means of a climatic chamber. This study offers a thorough documentation of the configuration of this experimental benchmark, including the types of deployed sensors, the nature of excitation and available measurements, and the investigated damage scenarios and environmental variations enforced. Lastly, an overview of the raw and processed measurement data, made available to researchers via an open access Zenodo repository, is herein provided.

中文翻译：

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基于振动的小型风力涡轮机叶片在不同气候条件下的监测。第一部分：实验基准

近年来，结构健康监测 (SHM) 越来越多地被用作评估结构系统整个生命周期的性能以及支持决策和维护计划的宝贵工具。尽管已经开发了各种各样的 SHM 方法，但只有有限数量的研究可以作为比较不同技术的参考基础。在本文中，对小型风力涡轮机 (WT) 叶片的基于振动的评估进行了实验研究，旨在为 SHM 社区建立基准案例研究。所考虑的结构由 Sonkyo Energy 作为 Windspot 3.5 kW WT 模型的一部分提供，在不同环境（即温度）下在健康和受损状态下进行测试，通过气候室施加的条件。本研究提供了该实验基准配置的完整文档，包括部署传感器的类型、激励和可用测量的性质，以及调查的损坏场景和强制执行的环境变化。最后，本文提供了通过开放访问 Zenodo 存储库向研究人员提供的原始和处理过的测量数据的概述。