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Pitch Error and Shear Web Disbond Detection on Wind Turbine Blades for Offshore Structural Health and Prognostics Management

机译:风力涡轮机叶片的桨距误差和剪切腹板剥离检测,用于海上结构健康和预测管理

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Operations and maintenance costs for offshore wind plants are estimated to be significantly higher than the current costs for onshore wind plants. One way to reduce these costs would be to implement a structural health and prognostic management (SHPM) system as part of a condition based maintenance paradigm with smart load management. To facilitate the development of such a system a multiscale modeling approach has been developed to identify how the underlying physics of the system are affected by the presence of damage and faults, and how these changes manifest themselves in the operational response of a full turbine. This methodology was used to investigate the effects of rotor imbalance and shear web disbond on a 5-MW offshore wind turbine in the present report. Based on simulations of the model, the operational measurements that demonstrated the highest sensitivity to the damage/faults were the blade tip accelerations and local pitching moments for both imbalance and shear web disbond. Detection strategies have been developed for these fault mechanisms with the intent of being integrated into an operations and maintenance paradigm. The integration of the health monitoring information provides the initial steps to reducing operations and maintenance costs for an offshore wind farm while increasing turbine availability and overall profit.
机译:据估计,海上风电厂的运营和维护成本将大大高于目前的陆上风电厂的成本。减少这些成本的一种方法是实施结构健康和预后管理(SHPM)系统,作为基于状态的维护范式的一部分,并具有智能负载管理功能。为了促进此类系统的开发,已经开发了一种多尺度建模方法,以识别损坏和故障的存在如何影响系统的基础物理,以及这些变化如何在完整涡轮机的运行响应中体现出来。在本报告中,该方法用于研究转子不平衡和剪切腹板剥离对5兆瓦海上风力涡轮机的影响。基于模型的仿真,对不平衡/剪切腹板剥离的叶片尖端加速度和局部俯仰力矩显示出对损坏/故障最敏感的操作测量值。已经针对这些故障机制开发了检测策略,旨在将其集成到操作和维护范例中。健康监控信息的集成提供了减少海上风电场运营和维护成本的初始步骤,同时提高了涡轮机的可用性和总体利润。

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