针对拉挤梁风电叶片相控阵超声检测时,信号受叶片特殊结构及材料各向异性影响出现数据信噪比低、缺陷识别困难的问题,通过分析叶片结构及其典型缺陷,明确相控阵超声图像信号与叶片结构的对应关系,并提出了高效、准确的数据分析流程。试验结果表明,该方法有助于提高风电行业数据分析工作的质量。

During the phased array ultrasonic testing of wind turbine blades with pultrusion beam, the signal is affected by the special structure of the blade and the anisotropy of its material, resulting in the low signal-to-noise ratio of the data, and the defect identification is difficult in the data analysis. To solve this problem, this paper analyzes the structure and typical defects of wind turbine blades with pultrusion beam, clarifies the corresponding relationship between phased array ultrasonic image signal and the structure of wind turbine blades with pultrusion beam, and proposes an efficient and accurate analysis process. After verification, this method helps to improve the quality of data analysis work in the wind power industry.