Metrology & Measurement Technology, Volume. 45, Issue 1, 96(2025)

Aero⁃engine lockwire instance segmentation method based on improved Mask R⁃CNN

Fengfei ZHANG and Junhua SUN
Author Affiliations
  • School of Instrument Science and Opto⁃electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing100191, China
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    Figures & Tables(14)
    Aero⁃engine local lockwire image
    Structure of Mask R⁃CNN model
    Illustration of the effect of DSConv
    Illustration of the principle of DSConv
    Improved Resnet
    The overview of CBAM
    CAM of the CBAM
    SAM of the CBAM
    Improved FPN
    Example of data enhancement
    Partially enlarged image of test results
    • Table 1. Experimental environment

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      Table 1. Experimental environment

      名称配置
      操作系统Ubuntu 20.04
      CPUIntel Xeon Sliver 4310 CPU @ 2.10 GHz
      GPUNVIDIA RTX A5000
      显存24 GB
      编程语言Python 3.9
      开发环境Pytorch 1.10.1 + CUDA11.3
    • Table 2. Results of ablation experiments

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      Table 2. Results of ablation experiments

      模型

      Mask

      R⁃CNN

      GammaDSConvCBAMAAP50 / %
      176.71
      278.94
      380.02
      480.91
      582.54
    • Table 3. Results of contrast experiments

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      Table 3. Results of contrast experiments

      模型AAP50 / %
      Mask R⁃CNN76.71
      SOLOv269.80
      改进Mask R⁃CNN82.54
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    Fengfei ZHANG, Junhua SUN. Aero⁃engine lockwire instance segmentation method based on improved Mask R⁃CNN[J]. Metrology & Measurement Technology, 2025, 45(1): 96

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    Paper Information

    Category: Theory and Method

    Received: Dec. 1, 2024

    Accepted: --

    Published Online: Jul. 23, 2025

    The Author Email:

    DOI:10.11823/j.issn.1674-5795.2025.01.07

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