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A review of damage detection methods for wind turbine blades

机译:风力发电机叶片损伤检测方法综述

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Wind energy is one of the most important renewable energy sources and many countries are predicted to increase wind energy portion of their whole national energy supply to about twenty percent in the next decade. One potential obstacle in the use of wind turbines to harvest wind energy is the maintenance of the wind turbine blades. The blades are a crucial and costly part of a wind turbine and over their service life can suffer from factors such as material degradation and fatigue, which can limit their effectiveness and safety. Thus, the ability to detect damage in wind turbine blades is of great significance for planning maintenance and continued operation of the wind turbine. This paper presents a review of recent research and development in the field of damage detection for wind turbine blades. Specifically, this paper reviews frequently employed sensors including fiber optic and piezoelectric sensors, and four promising damage detection methods, namely, transmittance function, wave propagation, impedance and vibration based methods. As a note towards the future development trend for wind turbine sensing systems, the necessity for wireless sensing and energy harvesting is briefly presented. Finally, existing problems and promising research efforts for online damage detection of turbine blades are discussed.
机译:风能是最重要的可再生能源之一,预计许多国家在未来十年内将其全国能源供应中的风能比例提高到约20%。使用风力涡轮机收集风能的一个潜在障碍是风力涡轮机叶片的维护。叶片是风力涡轮机的关键和昂贵的组成部分,在其使用寿命中会遭受诸如材料退化和疲劳之类的因素的影响,这会限制其有效性和安全性。因此,检测风力涡轮机叶片中的损坏的能力对于规划风力涡轮机的维护和持续运行具有重要意义。本文介绍了风力涡轮机叶片损伤检测领域的最新研究和发展。具体而言,本文回顾了包括光纤和压电传感器在内的常用传感器,以及四种有希望的损伤检测方法,即基于透射率函数,波传播,阻抗和振动的方法。作为对风力涡轮机传感系统未来发展趋势的说明,简要介绍了无线传感和能量收集的必要性。最后,讨论了在线检测涡轮叶片损伤的现有问题和有希望的研究成果。

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