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首页> 外文期刊>The Journal of Strain Analysis for Engineering Design >Post-processing of ultrasonic signals for the analysis of defects in wind turbine blade using guided waves
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Post-processing of ultrasonic signals for the analysis of defects in wind turbine blade using guided waves

机译：超声信号的后处理，用于利用导波分析风力涡轮机叶片中的缺陷

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摘要

In this work, the most promising ultrasonic signal processing methods—discrete wavelet transform, variational mode decomposition and Hilbert transform—are applied for the analysis of disbond-type defects in the segment of wind turbine blade. Two disbond-type artificial defects having diameters of 81 and 25 mm were located on the main spar of wind turbine blade. The low-frequency ultrasonic system developed by Ultrasound Research Institute of the Kaunas University of Technology was used for the experimental investigation of wind turbine blade using guided waves and only one side of the blade segment was accessed. Two contact type ultrasonic transducers separated by 50 mm distance and fixed on a movable mechanical panel were used as a transmitter–receiver pair during the experiment for the ultrasonic signals recording up to the scanning distance of 250 mm with the scanning step of 1 mm. Both types of defects were marginally detected from the conventional experimental B-scan and therefore appropriate signal processing techniques were used to improve the accuracy of the analysis of defects. The discrete wavelet transform was combined with the amplitude detection method for estimating the size and location of defects. Finally, the variational mode decomposition is combined with the Hilbert transform to compare the instantaneous frequencies and amplitudes of the defect-free and defective signals as well as for the measurement of time-delays between the defect-free and defective signals.
机译：在这项工作中，最有前途的超声信号处理方法-离散小波变换，变分模式分解和希尔伯特变换-被用于分析风力涡轮机叶片节段中的剥离型缺陷。在风力涡轮机叶片的主翼上有两个直径分别为81和25mm的剥离型人工缺陷。由考纳斯工业大学超声研究所开发的低频超声系统用于利用导波对风力涡轮机叶片进行实验研究，并且仅进入叶片段的一侧。在实验过程中，使用两个接触式超声换能器，它们之间的距离为50 mm，并固定在可移动的机械面板上，作为超声波收发器，以1 mm的扫描距离记录了250 mm的扫描距离。两种类型的缺陷均从常规实验B扫描中少量检测到，因此使用了适当的信号处理技术来提高缺陷分析的准确性。离散小波变换与幅度检测方法相结合，以估计缺陷的大小和位置。最后，将变模分解与希尔伯特变换相结合，以比较无缺陷和有缺陷信号的瞬时频率和幅度，以及无缺陷和有缺陷信号之间的时延测量。

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