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首页> 外文期刊>Aerospace science and technology >Experimental investigation on axial compressor stall phenomena using aeroacoustics measurements via empirical mode and proper orthogonal decomposition methods
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Experimental investigation on axial compressor stall phenomena using aeroacoustics measurements via empirical mode and proper orthogonal decomposition methods

机译：通过经验模式和适当正交分解方法利用空气声学测量的轴向压缩机失速现象的实验研究

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摘要

In this work, we conduct experimental investigations on a single-stage axial compressor to shed lights on the dynamic stall phenomena via aeroacoustic measurements. For this, 8 acoustic pressure sensors are installed equally around the circumference of the compressor intake. The acoustic pressure data are simultaneously logged in real-time. Classical and conventional Fourier-transform based methods reveal that the compressor stall will occur beyond a critical pressure ratio or a flow coefficient as illustrated on a compressor map. However, there is no warning precursor obtained from the conventional signal analysis methods. Further investigations are conducted using a number of advanced signal processing techniques, such as empirical mode decomposition (EMD) and proper orthogonal decomposition (POD) and continuous wavelet (CW) methods. EMD analysis reveals that the compressor stall is corresponding to a low-frequency intrinsic mode function (IMF). It is growing rapidly from negligible amplitude random disturbances to limit cycle oscillations. POD shows that the number of the dominant acoustic modes contributing to more than 98.5% of the total fluctuation energy is changed from 3 to 7, when the stall occurs. This is insightful for low-order modelingof the compressor stall phenomena. Finally, applying CW transform could provide a warning of 0.05 s precursor on the tested axial compressor. In general, the present work opens up an alternative approach to study the dynamic physics of a compressor stall by applying an array of acoustic sensors with proper advanced data-processing methods implemented. (c) 2021 Elsevier Masson SAS. All rights reserved.
机译：在这项工作中，我们通过机动测量对单级轴向压缩机进行实验研究，以通过机动测量进行动态摊位现象。为此，8个声压传感器围绕压缩机摄入的圆周平等地安装。声压数据同时实时记录。古典和传统的傅里叶变换的方法揭示了压缩机停顿将超出临界压力比或如压缩机图所示的流量系数。然而，没有从传统的信号分析方法获得的警告前体。使用多种高级信号处理技术进行进一步的研究，例如经验模式分解（EMD）和适当的正交分解（POD）和连续小波（CW）方法。 EMD分析显示，压缩机失速对应于低频内联模式功能（IMF）。它从可忽略不计的幅度随机干扰迅速增长以限制周期振荡。 POD显示，当发生故障时，贡献总波动能量的超过98.5％的主导声学模式的数量从3到7变为7。这对于压缩机摊位现象的低阶造型来说是有洞察力的。最后，施加CW变换可以在测试的轴向压缩机上提供0.05秒的前体。通常，本工作通过应用具有适当的高级数据处理方法的声学传感器阵列来研究一种替代方法来研究压缩机失速的动态物理学。 （c）2021 Elsevier Masson SAS。版权所有。

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  • 来源
    《Aerospace science and technology》 |2021年第5期|106655.1-106655.11|共11页
  • 作者

    Guan Di; Sun Dakun; Xu Ruize; Bishop Daniel; Sun Xiaofeng; Ni Siling; Du Juan; Zhao Dan;

  • 作者单位

    Univ Canterbury Coll Engn Dept Mech Engn Private Bag 4800 Christchurch 8140 New Zealand;

    Beihang Univ Sch Energy & Power Engn Fluid & Acoust Engn Lab Beijing 100191 Peoples R China;

    Beihang Univ Sch Energy & Power Engn Fluid & Acoust Engn Lab Beijing 100191 Peoples R China;

    Univ Canterbury Coll Engn Dept Mech Engn Private Bag 4800 Christchurch 8140 New Zealand;

    Beihang Univ Sch Energy & Power Engn Fluid & Acoust Engn Lab Beijing 100191 Peoples R China;

    Univ Canterbury Coll Engn Dept Mech Engn Private Bag 4800 Christchurch 8140 New Zealand;

    Chinese Acad Sci Inst Engn Thermophys Ind Gas Turbine Lab Beijing 100190 Peoples R China;

    Univ Canterbury Coll Engn Dept Mech Engn Private Bag 4800 Christchurch 8140 New Zealand;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Compressor; Acoustics; Stall; Surge; Axial compressor; Turbomachinery;

    机译：压缩机;声学;摊位;浪涌;轴压压缩机;涡轮机械;

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