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Ice monitoring of a full-scale wind turbine blade using ultrasonic guided waves under varying temperature conditions

机译:在变化的温度条件下使用超声波引导的全尺寸风力涡轮机叶片的冰监测

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摘要

The icing of wind turbine blades is a common problem in cold climate area. Ice accretion on wind turbines, particularly turbine blades, can cause a variety of problems. The extreme icing may induce full stop of the turbine system. Thus, ice monitoring is one of the important issues for turbine blade icing solutions. The ice coating on the blade surface can change the primary propagation characteristics of the elastic waves. Therefore, Lamb waves are proposed to monitor the ice-forming processes of a full-scale wind turbine blade. Because the varying temperature is a remarkable and inevitably factor during ice monitoring, a principal component analysis (PCA)-based ice monitoring method is proposed to eliminate the temperature effects and is first demonstrated by a segment of the blade in the laboratory. Subsequently, the proposed method is applied on a full-scale blade in the frozen tunnel. The PZT wafers array is arranged to enhance the guided wave signals, and the tuning and attenuation characteristics are investigated on the clear surface of blade without ice. Finally, the PCA-based method is used to identify the ice formation again on both the tip and the middle segments of the full-scale blade under varying temperature conditions. The results indicate that the proposed ultrasonic guided wave combining PCA-based method is efficient and sensitive for ice monitoring of the full-scale wind turbine blade.
机译:风力涡轮机叶片的结冰是寒冷地区的常见问题。风力涡轮机,特别是涡轮机叶片上的积冰会引起各种问题。极端的结冰可能导致涡轮系统完全停止。因此,冰监测是涡轮叶片结冰解决方案的重要问题之一。叶片表面的冰层可以改变弹性波的主要传播特性。因此,提出了兰姆波来监测全尺寸风力涡轮机叶片的冰形成过程。由于温度变化在冰监测过程中是一个显着且不可避免的因素,因此提出了一种基于主成分分析(PCA)的冰监测方法来消除温度影响,并首先在实验室中通过叶片的一部分进行了演示。随后,将所提出的方法应用于冻结隧道中的全尺寸叶片。排列PZT晶片阵列以增强导波信号,并在没有冰的叶片透明表面上研究调谐和衰减特性。最后,基于PCA的方法用于在变化的温度条件下再次确定全尺寸刀片的尖端和中间部分的结冰情况。结果表明,所提出的基于PCA的超声波导波组合方法对于全尺寸风力涡轮机叶片的冰监测是有效且灵敏的。

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