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Output-only Modal Analysis using Continuous-Scan Laser Doppler Vibrometry and application to a 20 kW wind turbine

机译:使用连续扫描激光多普勒振动法的仅输出模态分析及其在20 kW风力发电机中的应用

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Continuous-Scan Laser Doppler Vibrometry (CSLDV) is a technique where the measurement point continuously sweeps over a structure while measuring, capturing both spatial and temporal information. The continuous-scan approach can greatly accelerate measurements, allowing one to capture spatially detailed mode shapes in the same amount of time that conventional methods require to measure the response at a single point. The method is especially beneficial when testing large structures, such as wind turbines, that have low natural frequencies and hence may require very long time records at each measurement point. Several CSLDV methods have been presented that use sinusoidal excitation or impulse excitation, but CSLDV has not previously been employed with an unmeasured, broadband random input. This work extends CSLDV to that class of input, developing an Output-only Modal Analysis method (OMA-CSLDV). A recently developed algorithm for linear time-periodic system identification, which makes use of harmonic power spectra and the harmonic transfer function concept developed by Wereley [17], is used in conjunction with CSLDV measurements. One key consideration, the choice of the scan frequency, is explored. The proposed method is validated on a randomly excited free-free beam, where one-dimensional mode shapes are captured by scanning the laser along the length of the beam. The first seven natural frequencies and mode shapes are extracted from the harmonic power spectrum of the vibrometer signal and show good agreement with the analytically-derived modes of the beam. The method is then applied to identify the mode shapes of a parked 20 kW wind turbine using a ground based laser and with only a light breeze providing excitation.
机译:连续扫描激光多普勒振动测定法(CSLDV)是一种技术,其中测量点在测量时连续扫过结构,同时捕获空间和时间信息。连续扫描方法可以极大地加快测量速度,从而使人们可以在捕获传统方法在单个点上测量响应所需的相同时间内获取详细的模式形状。该方法在测试固有频率较低的大型结构(例如风力涡轮机)时特别有用,因此可能需要在每个测量点记录很长时间。已经提出了几种使用正弦激励或脉冲激励的CSLDV方法,但是CSLDV以前尚未与未经测量的宽带随机输入一起使用。这项工作将CSLDV扩展到该类输入,从而开发了仅输出模态分析方法(OMA-CSLDV)。最近开发的线性时间周期系统识别算法,结合了谐波功率谱和由Wereley [17]开发的谐波传递函数概念,与CSLDV测量结合使用。探索了一个关键考虑因素,即扫描频率的选择。所提出的方法在随机激发的自由光束上得到了验证,该光束通过沿光束的长度扫描激光来捕获一维模式形状。从振动计信号的谐波功率谱中提取前七个固有频率和模式形状,并与光束的解析推导模式显示出很好的一致性。然后将该方法应用于使用基于地面的激光并且仅通过微风提供激励来识别停放的20 kW风力涡轮机的模式形状。

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