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Stall-Warning Approach Based on Aeroacoustic Principle

机译:基于空气声原理的失速警告方法

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摘要

In a fan/compressor, the pass of the blade is a periodic event and this periodicity deteriorates when rotating stall is gradually approached. The present work studies this periodicity of the pressure signal and explains when and why this periodicity deterioration happens from the perspective of the aeroacoustic principle. A theoretical analysis shows that the change of blade circulation has a close association with rotating stall and can be reflected on the periodicity deterioration of pressure signals sampled by a near-field dynamic pressure sensor located on the casing wall. A defined parameter Rc, which can revalue this periodicity, has the potential to be a stall-warning criterion. Then, a stall-warning approach is developed in terms of this feature. The values of Rc are calculated by the pressure signals of several blade pitches based on the current and the previous shaft periods. Statistical estimations are conducted on Rc within statistical windows by calculating the probabilities of Rc less than a threshold. The relevant experiments are carried out on a low-speed compressor, a transonic compressor, and a low-speed fan. The results show that the proposed approach has the capability of generating a stall-warning signal sufficiently in advance of the modal wave and spike in turbomachinery.
机译:在风扇/压缩机中,叶片的通过是周期性事件,并且当逐渐接近旋转失速时,这种周期性恶化。本工作研究了压力信号的周期性,并从航空声学原理的角度解释了这种周期性恶化的时间和原因。理论分析表明,叶片循环的变化与旋转失速有着密切的联系,并且可以反映在位于壳体壁上的近场动态压力传感器采样的压力信号的周期性恶化中。可以重估此周期性的已定义参数Rc有可能成为失速警告标准。然后,就此功能开发了一种失速警告方法。 Rc的值是根据当前和先前的轴周期通过几个叶片螺距的压力信号计算得出的。通过计算Rc的概率小于阈值,可以在统计窗口内对Rc进行统计估计。在低速压缩机,跨音速压缩机和低速风扇上进行了相关实验。结果表明,所提出的方法能够在涡轮机械中的模态波和尖峰之前充分产生失速警告信号。

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  • 来源
    《Journal of propulsion and power》 |2016年第6期|1353-1364|共12页
  • 作者单位

    Beijing University of Aeronautics and Astronautics, 100191 Beijing, People's Republic of China;

    Air Force Engineering University, 710038 Xi'an, People's Republic of China;

    Beijing University of Aeronautics and Astronautics, 100191 Beijing, People's Republic of China;

    Air Force Engineering University, 710038 Xi'an, People's Republic of China;

    Beijing University of Aeronautics and Astronautics, 100191 Beijing, People's Republic of China;

    Beijing University of Aeronautics and Astronautics, 100191 Beijing, People's Republic of China;

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