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Speed estimation in planetary gearboxes: A method for reducing impulsive noise

机译:行星齿轮箱中的速度估计:一种减少脉冲噪声的方法

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Wind-turbine gearboxes mostly work under varying speed conditions. With the increased need for cost-saving and installation difficulties in many applications, vibration-based speed estimation approaches have attracted more attention recently. However, the authors have observed that instantaneous speed or phase estimates from planetary gearbox vibration signals are often more vulnerable to impulsive noise than those IAS estimated by shaft rotation The reason why it occurs, especially frequently in planetary gearboxes, is still not fully understood. Therefore, the generation of this impulsive noise and how it affects the order tracking result is fully investigated in this study. A signal processing framework is proposed to minimize this noise to reduce the overfitting issue and increase the accuracy of the vibration-based speed estimation result. The reason why the noise occurs was validated using signal model and two datasets. The method to improve the accuracy of speed estimation was compared with existing speed estimation methods using both industry and laboratory data to show its benefits compared with existing phase-demodulation based speed estimation methods. The technique is most suitable for speed estimation in cases of mixed amplitude and phase modulation.
机译:风力涡轮机齿轮箱主要在不同的速度条件下工作。随着许多应用中的成本节约和安装困难的增加,基于振动的速度估算方法最近引起了更多的关注。然而,作者观察到,行星齿轮箱振动信号的瞬时速度或相位估计通常比轴旋转估计的脉冲噪声更容易受到它的原因,特别是在行星齿轮箱中的原因,仍然不完全理解。因此,在本研究中完全研究了这种脉冲噪声的产生以及它如何影响订单跟踪结果。提出了一种信号处理框架,以最小化该噪声来降低过度拟合问题并提高基于振动的速度估计结果的准确性。使用信号模型和两个数据集进行验证发生噪声的原因。将提高速度估计准确性的方法与使用行业和实验室数据的现有速度估计方法进行了比较,以显示其与现有的基于相位解调的速度估计方法的益处。该技术最适合于混合幅度和相位调制的情况下的速度估计。

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  • 来源
    《Mechanical systems and signal processing》 |2021年第10期|107786.1-107786.16|共16页
  • 作者单位

    College of Mechanical and Transportation Engineering China University of Petroleum Beijing 102249 China Department of Mechanical and Materials Engineering Queen's University Kingston ON K7L 3N6 Canada;

    School of Mechanical and Manufacturing Engineering University of New South Wales Sydney NSW 2052 Australia;

    School of Mechanical and Manufacturing Engineering University of New South Wales Sydney NSW 2052 Australia;

    School of Mechanical and Manufacturing Engineering University of New South Wales Sydney NSW 2052 Australia;

    Department of Mechanical and Materials Engineering Queen's University Kingston ON K7L 3N6 Canada;

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