Optics and Precision Engineering, Volume. 32, Issue 23, 3457(2024)

Aero-engine nacelle acoustic hole detection system integrating improved semi-supervised segmentation method

Qingyu DONG1... Biao MEI2,*, Yun FU3, Rongjin YANG1 and Weidong ZHU1 |Show fewer author(s)
Author Affiliations
  • 1Polytechnic Institute, Zhejiang University, Hangzhou3005, China
  • 2Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences, Quanzhou36100, China
  • 3Xizi Spirit Aerospace Industry (Zhejiang) Ltd., Hangzhou11222, China
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    Figures & Tables(13)
    Multi-spindle robotic drilling system for nacelle acoustic liners and its visual detection system
    Schematic diagram of installation of hardware part of system
    Schematic diagram of installation principle of visual detection device
    Workfolw of composite acoustic hole visual detection system
    Structure of imporved UniMatch
    Segmentation process of composite acoustic holes
    Flow of detection of acoustic reference hole
    Detection interface for acoustic hole porosity
    Verification of reference hole detection accuracy
    Detection interface for acoustic reference hole
    • Table 1. [in Chinese]

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      Table 1. [in Chinese]

      算法1 由粗到精的复合材料声衬孔几何参数拟合算法

      输入 Img: 复合材料声衬孔分割结果图

      findContours: 边界轮廓点提取算法

      minEnclosingCircle 最小外接圆算法

      leastsq 最小二乘法

      输出 Circles 拟合得到的图像中所有声衬孔基准孔几何参数

      1 #提取图像内所有声衬孔分割区域的边界轮廓

      Contours=findContoursImg

      2 #遍历每一个声衬孔

      for Percontour in Contours:

      3 #拟合得到粗精度圆的几何参数(xr1,yr1,r1

        Rough_circle=minEnclosingCirclePercontour

      4 #遍历每个声衬孔中的轮廓点(xi,yi

          for point in Percontour:

      5 #计算轮廓点与拟合圆之间的误差

         err=(xi-xr1)2+(yi-yr1)2-r1

      6 #判断该轮廓点是否超过距离阈值

            if err< threshold

       #得到单个声衬孔新的轮廓点集

           New_Percontour.append(point)

      7 #拟合得到高精度圆几何参数(xr2,yr2,r2

        Percircle=leastsqNew_ Percontour

      8 #将当前圆参数结果加至图像所有声衬孔基准孔几何参数集合中

          Circles.append(Percircle)

      9 return Circles

    • Table 1. Performance for composite acoustic hole segmentation with different methods

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      Table 1. Performance for composite acoustic hole segmentation with different methods

      分割方法mIoU/%参数量/MB
      U-Net(100%)95.2421.1
      优化U-Net(100%)95.6622.9
      Deeplab3+(100%)91.4959.5
      改进前UniMatch(30%)90.7559.5
      改进后UniMatch(30%)95.7022.9
    • Table 2. Verification of porosity detection accuracy

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      Table 2. Verification of porosity detection accuracy

      方 法穿孔率/%
      视觉系统检测1.055
      人工标注1.032
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    Qingyu DONG, Biao MEI, Yun FU, Rongjin YANG, Weidong ZHU. Aero-engine nacelle acoustic hole detection system integrating improved semi-supervised segmentation method[J]. Optics and Precision Engineering, 2024, 32(23): 3457

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    Paper Information

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    Received: Jul. 1, 2024

    Accepted: --

    Published Online: Mar. 10, 2025

    The Author Email: MEI Biao (mechme@126.com)

    DOI:10.37188/OPE.20243223.3457

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