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Wavelet Transformation for Damage Identification in Wind Turbine Blades

机译:风力涡轮机叶片损伤识别小波变换

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The present paper documents a proposed modal and wavelet analysis-based structural health monitoring (SHM) method for damage identification in wind turbine blades. A finite element (FE) model of a full-scale wind turbine blade is developed and introduced to a transverse surface crack. Hereby, post-damage mode shapes are derived through modal analysis and subsequently analyzed with continuous two-dimensional wavelet transformation for damage identification, namely detection, localization and assessment. It is found that valid damage identification is obtained even when utilizing the mode shape of the first structural blade mode. However, due to the nature of the proposed method, it is also found that the accuracy of the damage assessment highly depends on the number of employed measurement points.
机译:本文撰写了一种提出的基于模态和小波分析的结构健康监测(SHM)方法,用于风力涡轮机叶片中的损坏识别方法。开发出全尺寸风力涡轮机叶片的有限元(FE)模型并引​​入横向表面裂纹。因此,通过模态分析导出后损伤模式形状,随后通过连续的二维小波变换进行分析,用于损坏识别,即检测,本地化和评估。结果发现即使利用第一结构刀片模式的模式形状也可以获得有效的损坏识别。然而,由于所提出的方法的性质,还发现损伤评估的准确性高度取决于所用测量点的数量。

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