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基于静电互相关灵敏度加权的气路碎片监测

王超 张帅 李亚东 贾林

王超, 张帅, 李亚东, 等 . 基于静电互相关灵敏度加权的气路碎片监测[J]. 北京航空航天大学学报, 2020, 46(3): 457-464. doi: 10.13700/j.bh.1001-5965.2019.0102
引用本文: 王超, 张帅, 李亚东, 等 . 基于静电互相关灵敏度加权的气路碎片监测[J]. 北京航空航天大学学报, 2020, 46(3): 457-464. doi: 10.13700/j.bh.1001-5965.2019.0102
WANG Chao, ZHANG Shuai, LI Yadong, et al. Electrostatic cross-correlation sensitivity weighting based gas path debris monitoring[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(3): 457-464. doi: 10.13700/j.bh.1001-5965.2019.0102(in Chinese)
Citation: WANG Chao, ZHANG Shuai, LI Yadong, et al. Electrostatic cross-correlation sensitivity weighting based gas path debris monitoring[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(3): 457-464. doi: 10.13700/j.bh.1001-5965.2019.0102(in Chinese)

基于静电互相关灵敏度加权的气路碎片监测

doi: 10.13700/j.bh.1001-5965.2019.0102
基金项目: 

国家自然科学基金 61673291

详细信息
    作者简介:

    王超, 男, 博士, 教授, 博士生导师。主要研究方向:单相流与多相流参数检测、电学层析成像技术、流体能源检测与控制; E-mail: wangchao@tju.edu.cn

    张帅, 男, 硕士研究生。主要研究方向:静电法稀相气固两相流参数检测

    通讯作者:

    王超, E-mail: wangchao@tju.edu.cn

  • 中图分类号: V231.2;O359

Electrostatic cross-correlation sensitivity weighting based gas path debris monitoring

Funds: 

National Natural Science Foundation of China 61673291

More Information
  • 摘要:

    由于静电传感器阵列(ESA)安装位置及电极数目受到工作环境限制,导致航空发动机故障预测与健康管理(PHM)系统的线性独立测量信息数较少。针对此问题,提出了一种基于静电互相关(CC)灵敏度加权的气路碎片监测方法,在同一电极数目的条件下利用互相关聚焦原理有效增加了能够表征不同敏感区域的测量信息。在此基础上设计了8电极ESA,建立了不同电极对的互相关灵敏度分布,并以获取的16个相关速度值对其进行加权计算,计算结果反映了带电碎片的速度和位置信息。带式静电实验装置和颗粒落体实验装置的实验结果验证了所提方法的有效性,对单颗粒与多颗粒的监测结果和实际分布的平均相关系数分别达到了0.668与0.652,提高了PHM系统的监测信息量和稳定性。

     

  • 图 1  ESA结构示意图及实物图

    Figure 1.  Structural diagram and photograph of ESA

    图 2  电极A1的空间灵敏度分布

    Figure 2.  Spatial sensitivity distribution of electrode A1

    图 3  互相关灵敏度分布

    Figure 3.  Cross-correlation sensitivity distribution

    图 4  上下游各电极对单个带电颗粒的互相关速度

    Figure 4.  Cross-correlation speeds between upstream and downstream arbitrary pairs of electrodes to a single charged particle

    图 5  经互相关速度加权后的任意对电极间互相关灵敏度分布

    Figure 5.  Cross-correlation velocity weighted cross-correlation sensitivity distributions between arbitrary pairs of electrodes

    图 6  互相关灵敏度分布加权叠加后的速度分布

    Figure 6.  Velocity distribution after superposition of weighted cross-correlation sensitivity distributions

    图 7  带式静电实验装置结构示意图及实物图

    Figure 7.  Structural diagram and photograph of belt electrostatic experimental device

    图 8  验证实验ESA及橡胶带位置示意图

    Figure 8.  Location schematic diagram of ESA and rubber belt in validation experiment

    图 9  不同电机转速所对应的速度分布测量结果

    Figure 9.  Velocity distribution measurement results corresponding to different motor rotation speeds

    图 10  颗粒落体实验装置实物图

    Figure 10.  Photograph of vertical gravity experimental device

    表  1  电机转速与橡胶带的换算速度

    Table  1.   Motor rotation speed and corresponding rubber belt velocity

    电机转速/(r·min-1) 橡胶带速度/(m·s-1)
    500 2.0944
    750 3.1416
    1000 4.1888
    1250 5.2360
    1500 6.2832
    下载: 导出CSV

    表  2  互相关灵敏度加权速度提取方法对不同空间分布的单颗粒及多颗粒速度测量结果

    Table  2.   Velocity measurement results of single particle and multiple particles with different spatial distributions by cross-correlation sensitivity weighting method

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出版历程
  • 收稿日期:  2019-03-13
  • 录用日期:  2019-10-18
  • 刊出日期:  2020-03-20

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