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Non-contact vibration monitoring of rotating wind turbines using a semi-autonomous UAV

机译:使用半自主无人机对旋转式风力发电机进行非接触式振动监测

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With the recent demands for more efficient clean renewable energy sources, wind turbines are designed that have large rotor blade diameters. These large-sized wind turbines need to be periodically monitored to prevent catastrophic failures. This paper aims to develop a practice for obtaining the vibration characteristics of wind turbine blades that can be eventually used for structural health monitoring of these structures. This monitoring technique needs to be robust and non-contact to prevent any interference with the operation of the wind turbine. In this work, a digital image correlation (D1C) system installed on a drone is used as a sensing technique to obtain the dynamic characteristics of rotating wind turbine blades. The DIC uses a stereo-camera system to record the deflections of the blades and provides non-contact measurements. The unmanned aerial vehicle (UAV) enables on-site robust measurements. Furthermore, a dynamic stitching technique is used after DIC measurement to obtain vibration characteristics of the entire blade with high accuracy. The proposed health monitoring technique can be used by engineers for remote structural health monitoring of wind turbines during operation in both offshore and inland wind farms.
机译:随着近来对更有效的清洁可再生能源的需求,风力涡轮机被设计成具有大的转子叶片直径。这些大型风力涡轮机需要定期监控以防止灾难性故障。本文旨在开发一种实践,以获取风力涡轮机叶片的振动特性,并将其最终用于这些结构的结构健康监测。该监控技术必须坚固且非接触式,以防止对风力涡轮机的运行造成任何干扰。在这项工作中,安装在无人机上的数字图像相关(D1C)系统被用作传感技术,以获得旋转的风力涡轮机叶片的动态特性。 DIC使用立体摄像机系统记录叶片的偏转并提供非接触式测量。无人机(UAV)可实现现场强大的测量。此外,在DIC测量之后,使用动态缝合技术来高精度地获得整个叶片的振动特性。工程师可以将所提出的健康监测技术用于在海上和内陆风电场运行期间对风机进行的远程结构健康监测。

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