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The Parameter Identification Method of Blade Asynchronous Vibration under Sweep Speed Excitation

机译:扫描速度激励下叶片异步振动的参数识别方法

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The non-contact blade tip timing (BTT) measurement, with the advantage of measuring all the disk blades, has obtained widespread applications in industries. The measured data is under-sampled. Generally asynchronous vibrations will appear with the rotating speed sweeping under the excitation of the flow field, which can create a great increase of the blade vibration amplitude that is potentially harmful to the operation reliability of the turbine. In this paper, the investigation on the parameter identification method of blade asynchronous vibration under variable speed excitations was deeply explored. A novel method of parameter identification has been developed, based on the two sensors data interpolation in order to increase the frequency that can be identified. The spectral analysis with all phases Fast Fourier Transform (apFFT) was performed to extract the accuracy amplitude and phase of the blade. The order tracking calculation was carried out based on the minimum angle error. A mathematical model with four blades was developed to simulate the BTT testing data which can produce the simulation of speed sweep asynchronous vibration signal of the four blades. The correctness and accuracy of the algorithm was verified with the parameters identification of blade asynchronous vibration using the simulation model.
机译:非接触式尖端定时(BTT)测量,具有测量所有磁盘叶片的优势,在行业中获得了广泛的应用。测量的数据被取样。通常在流场的激发下扫描的旋转速度将出现异步振动,这可以产生对涡轮机的操作可靠性可能有害的叶片振动幅度的大大增加。本文深入探索了对变速激发下叶片异步振动参数识别方法的研究。基于两个传感器数据插值,已经开发了一种新的参数识别方法,以增加可以识别的频率。执行具有所有相快速傅里叶变换(APFFT)的光谱分析以提取刀片的精度幅度和相位。根据最小角度误差执行订单跟踪计算。开发了一种具有四个刀片的数学模型来模拟BTT测试数据,可以产生四叶片的速度扫描异步振动信号的模拟。使用仿真模型验证了算法的正确性和准确性,验证了叶片异步振动的参数识别。

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