Real-Time Monitoring of Wind Turbine Blade Alignment Using Laser Displacement and Strain Measurement

IF 2 Q2 ENGINEERING, MULTIDISCIPLINARY
Max Ovenden, Qing Wang, Songling Huang, Wei Zhao, Shen Wang
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引用次数: 4

Abstract

Wind turbine (WT) blade structural health monitoring (SHM) is important as it allows damage or misalignment to be detected before it causes catastrophic damage such as that caused by the blade striking the tower. Both of these can be very costly and justify the expense of monitoring. This paper aims to deduce whether a SICK DT-50 laser displacement sensor (LDS) installed inside the tower and a half-bridge type II strain gauge bridge installed at the blade root are capable of detecting ice loading, misalignment, and bolt loosening while the WT is running. Blade faults were detected by the virtual instrument, which conducted a z-test at 99% and 98% significance levels for the LDS and at 99.5% and 99% significance levels for the strain gauge. The significance levels chosen correspond to typical Z-values for statistical tests. A higher significance was used for the strain gauge as it used a one-tail test as opposed to a two-tail test for the LDS. The two different tests were used to test for different sensitivities of the tests. The results show that the strain gauge was capable of detecting all the mass loading cases to 99.5% significance, and the LDS was capable of detecting misalignment, bolt loosening, and 3 out of 4 mass loading cases to 99% significance. It was able to detect the least severe mass loading case of 11 g at the root to only a 98% significance.
基于激光位移应变测量的风力机叶片对中实时监测
风力涡轮机叶片结构健康监测(SHM)非常重要,因为它可以在叶片撞击塔架等灾难性损坏发生之前检测到损坏或不对中。这两种方法的成本都非常高,值得进行监控。本文旨在推断安装在塔内的SICK DT-50激光位移传感器(LDS)和安装在叶根的半桥式II型应变桥是否能够检测WT运行时的冰加载、错位和螺栓松动。通过虚拟仪器检测叶片故障,对LDS进行99%和98%显著性水平的z检验,对应变片进行99.5%和99%显著性水平的z检验。所选择的显著性水平对应于统计检验的典型z值。应变计使用了更高的显著性,因为它使用了单尾测试,而不是LDS的双尾测试。两种不同的测试方法被用来测试不同的测试灵敏度。结果表明,应变片检测所有质量加载工况的显著性达到99.5%,LDS检测错位、螺栓松动、4种质量加载工况中的3种的显著性达到99%。它能够检测到最轻的11 g质量载荷情况下的根,只有98%的显著性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.80
自引率
9.10%
发文量
25
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