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| 叶片挠度摄像测量与力学诊断方法研究 |
| Research on Photogrammetry and Mechanical Diagnosis based on Blade Deflection |
| 投稿时间：2024-09-08 修订日期：2024-11-21 |
| DOI： |
| 中文关键词: 双目视觉 相机标定 三维测量 损伤检测 |
| 英文关键词:binocular vision camera calibration three-dimensional measurement damage detection |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 中文摘要: |
| 本文提出基于双目视觉的非接触测量技术和叶片故障诊断方法。首先针对大视场相机标定难题，在相机参数标定中使用逆深度化的BA算法对双目视觉系统的外部参数进行非线性优化，提高在户外大视场应用场景下的三维空间位置测量精度。然后，探索了基于挠度测量的叶片损伤识别方法。通过拟合叶片的旋转平面进行坐标系转换，提取旋转叶片的法向变形信息，通过比较含裂纹和不含裂纹叶片的峰峰值差异，可确定叶片损伤裂纹的位置。在长度为2.15 m的叶片实验模拟系统中，实现了叶片三维位移的测量，对预制裂纹进行了定位检测，获得了满意的测量结果，初步验证了所提出方法的可行性。 |
| 英文摘要: |
| A non-contact measurement technology based on binocular vision has been proposed for fault diagnosis. The inverse depth-based Bundle adjustment (BA) algorithm is used in nonlinearly optimizing the external parameters of the binocular vision system, thereby improving the measurement accuracy for large field-of-view applications. The study on damage detection in a turbine blade is also explored based on experimental deflection measurements. By fitting the rotation plane of the turbine blade, the normal deformation of the rotary blade is extracted through the coordinate transformation. And the location of the damage in the blade is then determined by comparing the difference in peak to peak magnitudes between blades with and without cracks. An experimental wind turbine model was built with blade length of 2.15 m. The 3D displacement distribution of the rotating blade was characterized, and the prefabricated cracks in the blade were also detected. The feasibility of the proposed methods is preliminarily verified with the satisfactory measurement results. |
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