Abstract

Development of wind energy has led to explosive growth of practically applied energy sources, combined in wind farms. The number of wind turbines in cold climate grows rapidly. One of major problems in operation of wind turbines in such conditions is icing of turbine blades. It is known that the wind energy industry has no reliable methods for remote diagnostics of icing. Development and improvement of such methods is an extremely relevant task. The aim of the work is elaboration of a multivariable triangulation method for accurate diagnostics of three-dimensional geometry of ice. The idea of the method is as follows. Spatially-structured lighting is repeatedly projected on the surface of object to control. Images of the object are recorded from a direction other than that of the lighting. The images contain the structure of the projected lighting, distorted by the relief of the surface of the object. For each point on the image of the object, the dependence of the intensity of the registered radiation on the number of the image is determined.

中文翻译：

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用于诊断风力涡轮机叶片结冰的多变量三角测量方法的开发

摘要

风能的发展导致实际应用的能源在风电场中的爆炸式增长。寒冷气候下的风力涡轮机数量增长迅速。在这种条件下风力涡轮机运行的主要问题之一是涡轮机叶片的结冰。众所周知，风能行业没有用于结冰远程诊断的可靠方法。开发和改进此类方法是一项极其相关的任务。这项工作的目的是阐述一种多变量三角测量方法，用于准确诊断冰的三维几何形状。该方法的思路如下。空间结构光反复投射在物体表面进行控制。物体的图像是从照明方向以外的方向记录的。图像包含投影照明的结构，因物体表面的起伏而变形。对于对象图像上的每个点，确定配准辐射强度对图像编号的依赖性。