风电场上风向风力机风轮的尾迹将极大地影响下风向风力机的发电量和寿命。通常，如果在风电场建成后检测到尾迹效应，风电场运营商会采用如尾迹重定向，诱导因数控制等控制技术以降低尾迹的影响，为此有必要开发一种能够在线检测尾迹撞击风轮的技术。现有的风力机尾迹检测手段存在高成本或低可靠性的缺陷，提出了一种基于应变检测的实时在线数据分析方法。该方法可以在风轮被全部尾迹击中和部分尾迹击中的情况下，为控制系统提供可靠的尾迹撞击检测结果。采用美国可再生能源实验室开发的风电场模拟工具FAST.Farm，对所提出的方法在均匀风和湍流风情况下进行了仿真，仿真结果验证了本方法在典型风况条件下的有效性。

The wake of upwind wind turbine in wind farm will greatly affect the power generation and life of downwind wind turbine. Usually, if the wake effect is detected after the wind farm is built, the wind farm operator will use control techniques such as wake redirection and inductive factor control to reduce the impact of the wake.To this end, it is necessary to develop a technology that can detect the impact of the wake on the wind turbine online. The existing methods of wind turbine wake detection have the defects of high cost or low reliability. A real-time online data analysis method based on strain detection is proposed. This method can provide reliable wake impact detection results for the control system when the wind wheel is hit by all or part of the wake. FAST.Farm, a wind farm simulation tool developed by the renewable energy laboratory in the united states, was used to simulate the proposed method under both uniform and turbulent wind conditions. The simulation results verify the effectiveness of the proposed method under typical wind conditions.