Wind turbine generators are spreading around the world due to its advantages over fossil fuels. Structural monitoring of them is important to increase operation and reduce maintenance times. Visual inspection is highly influenced by the human factor due to the working conditions. Image processing supported by vision systems offers high advantages reducing times, being the software and processing algorithms, which generates added value. In this paper, a novel method for wind turbines blades damages analysis is presented using image processing and a classifier based on dimensional features. The image acquisition is performed using a reflex camera with a telephoto and geo-location enabled. The faults analyzed include cracks, edge erosion, and electric discharge.

中文翻译：

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基于图像处理的风轮机叶片损伤分类的新方法

风力涡轮发电机由于其比化石燃料的优势而在世界范围内传播。对它们进行结构监视对于增加操作和减少维护时间很重要。由于工作条件的原因，外观检查受人为因素的影响很大。视觉系统支持的图像处理在减少时间方面具有很高的优势，它们是软件和处理算法，可产生附加值。本文提出了一种基于图像特征和基于尺寸特征的分类器的风轮机叶片损伤分析新方法。使用启用了远摄和地理位置的反光相机执行图像采集。分析的故障包括裂纹，边缘腐蚀和放电。