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基于Elman的荧光油膜厚度近效测量

钱泓江 董秀成 张征宇 徐椰烃 王超

钱泓江, 董秀成, 张征宇, 等. 基于Elman的荧光油膜厚度近效测量[J]. 航空动力学报, 2023, 38(3):558-568 doi: 10.13224/j.cnki.jasp.20220543
引用本文: 钱泓江, 董秀成, 张征宇, 等. 基于Elman的荧光油膜厚度近效测量[J]. 航空动力学报, 2023, 38(3):558-568 doi: 10.13224/j.cnki.jasp.20220543
QIAN Hongjiang, DONG Xiucheng, ZHANG Zhengyu, et al. Fluorescent oil film thickness approximate efficiency measurement based on Elman[J]. Journal of Aerospace Power, 2023, 38(3):558-568 doi: 10.13224/j.cnki.jasp.20220543
Citation: QIAN Hongjiang, DONG Xiucheng, ZHANG Zhengyu, et al. Fluorescent oil film thickness approximate efficiency measurement based on Elman[J]. Journal of Aerospace Power, 2023, 38(3):558-568 doi: 10.13224/j.cnki.jasp.20220543

基于Elman的荧光油膜厚度近效测量

doi: 10.13224/j.cnki.jasp.20220543
基金项目: 国家自然科学基金(11872069,11872259); 国家科技重大专项(2019-Ⅳ-0010);四川省中央引导地方科技发展专项(2021ZYD0034)
详细信息
    作者简介:

    钱泓江(1997-),男,博士生,主要从事航空航天力学与工程、机器学习研究

    通讯作者:

    董秀成(1963-),男,教授,硕士,主要从事机器视觉研究。E-mail:dxc136@163.com

  • 中图分类号: V19

Fluorescent oil film thickness approximate efficiency measurement based on Elman

  • 摘要:

    为解决荧光油膜灰度与厚度现标定方法(微小高度装置法)存在采集工况复杂、标定周期较长等缺陷,提出了一种新的近效测量方法,该方法只需极少量标定数据,便可达到与现标定方法相近的效果。近效方法利用了Elman动态神经网络对小样本数据进行量程扩展并引入一维插值算法使扩展后的数据项平滑,对解算出的三维荧光油膜厚度数据采用二维插值算法进行二次平滑以求得完整的厚度分布图。经模拟试验结果显示,通过该近效方法进行厚度测量最终可以清晰、准确、定量地显示荧光油膜厚度分布,与目前广泛使用的微小高度装置法相比效果相近,在荧光油膜汇集处(较厚区域)误差最大不超过±2.5 μm,在平滑适中及较薄区域误差不超过±2 μm,达到荧光油膜厚度工程测量标准,为飞行器全局摩阻测量提供了一种新标定思路,具有一定的实际工程应用意义。

     

  • 图 1  二维插值示意图

    Figure 1.  Schematic diagram of two-dimensional interpolation

    图 2  Elman结构

    Figure 2.  Elman structure

    图 3  微小高度装置给定示意图

    Figure 3.  Schematic diagram of micro-height device given

    图 4  丝印材料样例

    Figure 4.  Example of silk-screen printing materials

    图 5  荧光油膜丝印灰度图像样例

    Figure 5.  Example of gray image of fluorescent oil film silk screen printing

    图 6  Elman模型测量示意图

    Figure 6.  Schematic representation of the Elman model measurements

    图 7  BBD-150三相变频无刷风机

    Figure 7.  BBD-150 three-phase inverter brushless fan

    图 8  试验工况(单位:cm)

    Figure 8.  Test conditions (unit:cm)

    图 9  试验平台

    Figure 9.  Test platform

    图 10  隐藏层神经元个数选取过程

    Figure 10.  Process of selecting number of neurons in hidden

    图 11  荧光油膜测试图像

    Figure 11.  Fluorescent oil film test images

    图 13  微小高度装置法厚度分布结果

    Figure 13.  Measurement of thickness distribution by micro-height device method

    图 14  近效测试厚度分布结果

    Figure 14.  Near-effect test results of thickness distribution

    图 15  1000、2000、5000帧对比情况

    Figure 15.  Comparison of 1000, 2000 and 5000 frames

    图 12  荧光油膜测试图像灰度分布

    Figure 12.  Gray scale distribution of fluorescent oil film

    图 16  第1000、2000、5000帧误差分布

    Figure 16.  1000, 2000, 5000 frame error distribution

    表  1  近效法采集数据

    Table  1.   Data collection by the near-effect method

    序号灰度值厚度值/μm
    116834.34
    215921.26
    315519.21
    415111.21
    514510.31
    61365.872
    下载: 导出CSV

    表  2  微小高度装置采集数据

    Table  2.   Data collection by micro height devices

    序号灰度值厚度值/μm
    117028.9563
    216928.1624
    316827.0142
    416725.8847
    516625.6792
    $\vdots $$\vdots $$\vdots $
    401316.1275
    下载: 导出CSV

    表  3  Baumer-HXC13工业相机参数

    Table  3.   Baumer-HXC13 industrial camera parameters

    型号Baumer-HXC13
    黑白分辨率/像素1280×1024
    像素大小/μm14×14
    全帧/(f/s)500
    下载: 导出CSV

    表  4  BBD-150风机参数

    Table  4.   BBD-150 fan parameters

    型号BBD-150
    风量/(cm3/s)165000
    风压/Pa500
    转速/(r/min)5000
    出风口尺寸/cm15
    下载: 导出CSV

    表  5  MAPE定量分析

    Table  5.   Quantification of MAPE

    帧数$ \sigma $/%
    100039.33
    200057.54
    500082.52
    下载: 导出CSV
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  • 收稿日期:  2022-07-26
  • 网络出版日期:  2023-02-08

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