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

机译：潮汐水轮机状态监测中基于结构的传感器的评估

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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.
机译：该论文报告了在商用潮汐流涡轮机上长期部署水下传感器以监测涡轮机状态和性能的贡献和局限性。公认的是，特定的现场和随时间变化的流量条件带来了监控方面的挑战。对于所有涡轮机和/或叶片损坏，故障诊断和预测是确保计划内维护操作的重要因素。从更广泛的卡迪夫海洋能源研究小组（CMERG）活动中报告了方法和结果。特别是，报告了2种不同实验方案的结果。直径为0.5m的物理比例模型的水槽测试;以及使用较小比例模型的叶片和支撑结构组成部分进行风洞评估。审查了应用领域，以及介绍，理由和所用方法的讨论。

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