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Aerodynamic Sensitivity Analysis of Rotor Imbalance and Shear Web Disbond Detection Strategies for Offshore Structural Health Prognostics Management of Wind Turbine Blades

机译:风力机叶片海上不平衡结构健康预测管理中转子不平衡的气动灵敏度分析和剪切腹板剥离检测策略

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Operations and maintenance costs for offshore wind plants are projected to be considerably higher than the current costs for land-based 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 perform a sensitivity analysis, investigating several inflow conditions in an effort to further evaluate the maturity of rotor imbalance and shear web disbond detection strategies developed in past efforts under variable inflow conditions as would be experienced in actual operation. Based on an aerodynamic sensitivity analysis of the model, the operational measurements used for the pilot study in the detection of pitch error, mass imbalance, and shear web disbond were utilized to confirm the validity of the detection strategies for all three damage/fault cases. Detection strategies were refined for these fault mechanisms and probabilities of detection (POD) were calculated. For all three fault mechanisms, the probability of detecting each fault was 96% or higher for the optimized wind speed ranges of the laminar, 30% horizontal shear, and 60% horizontal shear wind profiles. This aerodynamic sensitivity study contributes to the evaluation of structural health monitoring information with the goal to reduce operations and maintenance costs for an offshore wind farm while increasing turbine availability and overall profit.
机译:海上风电厂的运营和维护成本预计将大大高于陆上风电厂的当前成本。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。该方法用于执行敏感性分析,研究几种流入条件,以进一步评估转子不平衡的成熟度,以及过去在可变的流入条件下在实际操作中遇到的努力中开发的剪切腹板剥离检测策略。基于模型的空气动力学灵敏度分析,用于试验研究的俯仰误差,质量失衡和剪切腹板松脱检测中的操作测量被用于确认所有三种损坏/故障情况下检测策略的有效性。完善了针对这些故障机制的检测策略,并计算了检测概率(POD)。对于所有三种断层机制,对于层流,30%的水平切变和60%的水平切变风廓线的最佳风速范围,检测到每个故障的概率为96%或更高。这项空气动力学敏感性研究有助于评估结构健康监测信息,其目标是减少海上风电场的运营和维护成本,同时提高涡轮机的可用性和总体利润。

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