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    基于数字图像相关跟踪技术的风机叶片运行状态检测

    Wind turbine blade operation state detection based on digital image correlation and tracking technology

    • 摘要: 提出一种基于数字图像相关追踪技术(digital image correlation and tracking, DIC-Tracking)的风机叶片运行状态检测方法。该方法通过局部散斑绘制与DIC-Tracking算法结合,实现对风机叶片的轴心偏移、变形及裂纹扩展的实时非接触式检测。试验结果表明,该方法能以超过95%的精度实现叶片状态的精确追踪,具有操作简便、成本低廉、适应性强等优点,为风机叶片的早期诊断和维护提供了一种高效且经济的解决方案。

       

      Abstract: This paper presented a new method for monitoring the operational status of wind turbine blades using digital image correlation and tracking (DIC-Tracking) technology. By combining localized speckle painting with the DIC-Tracking algorithm, this method achieved real-time, non-contact monitoring of wind turbine blade hub misalignment, deformation, and crack propagation. Experiments demonstrated that this method could accurately track the condition of the blades with a precision exceeding 95%, offering advantages such as ease of operation, low cost, and strong adaptability. This method provided an efficient and economical solution for early diagnosis and maintenance of wind turbine blades.

       

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