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Damage detection in wind turbine blades using time-frequency analysis of vibration signals

机译:利用振动信号的时频分析检测风轮机叶片的损伤

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The dynamic behavior of modern multi-Megawatt wind turbines has become an important design consideration. One of the major aspects related to the reliability of operation of the turbines concerns the safe and adequate performance of the blades. The aim of this paper is to develop a time-frequency based algorithm to detect damage in wind turbine blades from blade vibration signals. It is important that damage to blades is detected before they fail or cause the turbine to fail. A wind turbine model was developed for this paper. The parameters considered were the rotational speed of the blades and the stiffness of the blades and the nacelle. The model derived considers the structural dynamics of the turbine and includes the dynamic coupling between the blades and the tower. The algorithm developed uses a frequency tracking technique. Numerical simulations have been carried out to study the effectiveness of the algorithm.
机译:现代多兆瓦级风力涡轮机的动态性能已成为重要的设计考虑因素。与涡轮机的运行可靠性有关的主要方面之一涉及叶片的安全和适当的性能。本文的目的是开发一种基于时频的算法,以根据叶片振动信号检测风力涡轮机叶片中的损伤。重要的是,在叶片失效或导致涡轮机失效之前,必须先检测出叶片的损坏。本文开发了一种风力涡轮机模型。所考虑的参数是叶片的转速以及叶片和机舱的刚度。导出的模型考虑了涡轮机的结构动力学,并包括了叶片与塔架之间的动态耦合。开发的算法使用频率跟踪技术。已经进行了数值模拟以研究该算法的有效性。

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