An assessment of structure-based sensors in the condition monitoring of tidal stream turbines

R. Grosvenor, P. Prickett, Jian He
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引用次数: 2

Abstract

The paper reports on contributions and limitations towards the long-term deployment of in-water sensors, on commercial tidal stream turbines, for monitoring of turbine condition and performance. It is recognised that specific site and ever time varying flow conditions pose monitoring challenges. For all turbine and/or blade deteriorations, fault diagnosis and prognostics are vital elements to secure planned maintenance operations. Approaches and results are reported from within the wider Cardiff Marine Energy Research Group (CMERG) activities. In particular results from 2 different experimental regimes are reported; water flume testing of a 0.5m diameter physical scale model; and wind tunnel evaluations using smaller scale models, of blade and support structure constituents. The application field is reviewed, along with introductions, justifications and discussion of the approaches used.
基于结构的传感器在潮汐水轮机状态监测中的评价
本文报告了在商业潮汐流涡轮机上长期部署水中传感器的贡献和局限性,用于监测涡轮机的状态和性能。人们认识到,特定的场地和不断变化的流量条件给监测带来了挑战。对于所有涡轮机和/或叶片的退化,故障诊断和预测是确保计划维护操作的重要因素。方法和结果从更广泛的卡迪夫海洋能源研究小组(CMERG)活动中报告。特别报告了两种不同实验制度的结果;0.5m直径物理比例尺水槽试验风洞评估使用较小比例的模型,叶片和支撑结构成分。对应用领域进行了回顾,并对所使用的方法进行了介绍、论证和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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