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基于机器视觉的轻型梁三维振动测量方法

彭聪 缪卫东 曾聪

彭聪, 缪卫东, 曾聪等 . 基于机器视觉的轻型梁三维振动测量方法[J]. 北京航空航天大学学报, 2021, 47(2): 207-212. doi: 10.13700/j.bh.1001-5965.2020.0211
引用本文: 彭聪, 缪卫东, 曾聪等 . 基于机器视觉的轻型梁三维振动测量方法[J]. 北京航空航天大学学报, 2021, 47(2): 207-212. doi: 10.13700/j.bh.1001-5965.2020.0211
PENG Cong, MIAO Weidong, ZENG Conget al. Three-dimensional vibration measurement method for lightweight beam based on machine vision[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 207-212. doi: 10.13700/j.bh.1001-5965.2020.0211(in Chinese)
Citation: PENG Cong, MIAO Weidong, ZENG Conget al. Three-dimensional vibration measurement method for lightweight beam based on machine vision[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 207-212. doi: 10.13700/j.bh.1001-5965.2020.0211(in Chinese)

基于机器视觉的轻型梁三维振动测量方法

doi: 10.13700/j.bh.1001-5965.2020.0211
基金项目: 

国家自然科学基金 61703203

江苏省自然科学基金 BK20170812

中央高校基本科研业务费专项资金 56XAA19040

详细信息
    作者简介:

    彭聪  女, 博士, 教授, 硕士生导师。主要研究方向: 振动测量及振动控制、视觉测量、视觉重建

    缪卫东  男, 硕士研究生。主要研究方向: 视觉测量技术

    曾聪  男, 硕士研究生。主要研究方向: 视觉测量技术

    通讯作者:

    彭聪. E-mail: pengcong.2006@163.com

  • 中图分类号: TP391.41

Three-dimensional vibration measurement method for lightweight beam based on machine vision

Funds: 

National Natural Science Foundation of China 61703203

Natural Science Foundation of Jiangsu Province BK20170812

the Fundamental Research Funds for the Central Universities 56XAA19040

More Information
  • 摘要:

    振动测量是状态检测和故障诊断的方法之一,针对传统接触式测量方法中存在负载效应等问题,对基于机器视觉的三维振动测量方法进行了研究。首先,基于视频相位的二维振动测量方法,提取出相机所采集图像中被测目标的二维振动数据。然后,在二维振动测量方法的基础上,结合双目立体视觉,设计了一种基于机器视觉的三维振动测量方法。最后,进行了悬臂梁的振动测量实验。结果表明:所提方法可以实现无接触和无标记的振动测量,并能准确测量出三维的振动信息。

     

  • 图 1  实验装置

    Figure 1.  Experimental setup

    图 2  左右相机采集图片

    Figure 2.  Pictures from left and right cameras

    图 3  左相机水平方向位移信号测量结果

    Figure 3.  Measurement results of horizontal displacement signal of left camera

    图 4  右相机水平方向位移信号测量结果

    Figure 4.  Measurement results of horizontal displacement signal of right camera

    图 5  被测点的三维运动

    Figure 5.  Three-dimensional trajectory of measured point

    表  1  重投影误差计算结果

    Table  1.   Reprojection error calculation results

    帧数 重建所得的坐标/mm 重投影误差/pixel
    x y z 左相机 右相机
    1 7.584 -114.794 880.039 0.043 0.051
    2 7.590 -114.792 880.037 0.045 0.052
    3 7.583 -114.791 880.036 0.042 0.051
    4 7.579 -114.793 880.037 0.044 0.053
    5 7.587 -114.793 880.037 0.041 0.051
    6 7.589 -114.791 880.036 0.043 0.052
    7 7.581 -114.792 880.039 0.044 0.054
    8 7.581 -114.794 880.038 0.041 0.053
    9 7.589 -114.793 880.037 0.046 0.052
    10 7.586 -114.790 880.039 0.044 0.052
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-05-25
  • 录用日期:  2020-06-19
  • 网络出版日期:  2021-02-20

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