Volume 51 Issue 2
Jun.  2021
Turn off MathJax
Article Contents
Chen L Q, Yang T Z. Full-field video-based vibration measurement of mechanical equipment. Advances in Mechanics, 2021, 51(2): 376-381 doi: 10.6052/1000-0992-21-012
Citation: Chen L Q, Yang T Z. Full-field video-based vibration measurement of mechanical equipment. Advances in Mechanics, 2021, 51(2): 376-381 doi: 10.6052/1000-0992-21-012

Full-field video-based vibration measurement of mechanical equipment

doi: 10.6052/1000-0992-21-012
More Information
  • Corresponding author: chenliqun@hit.edu.cn
  • Received Date: 2021-03-20
  • Accepted Date: 2021-06-08
  • Available Online: 2021-06-18
  • Publish Date: 2021-06-25
  • This paper summarizes the trends and application of full-field vibration measurement based on video-based methodology. It focuses on the unique advantages of the two scenarios: vibration measurement of large-size and moving equipment. We summarize the latest progress and challenges in recent years, and finally, briefly present the outlook in this field.

     

  • loading
  • [1]
    Chen J G, Adams T M, Sun H, et al. 2018. Camera-based vibration measurement of the World War I Memorial Bridge in Portsmouth, New Hampshire. Journal of Structural Engineering, 144: 04018207. doi: 10.1061/(ASCE)ST.1943-541X.0002203
    [2]
    Durand-Texte T, Simonetto E, Durand S, et al. 2019. Vibration measurement using a pseudo-stereo system, target tracking and vision methods. Mechanical Systems and Signal Processing, 118: 30-40. doi: 10.1016/j.ymssp.2018.08.049
    [3]
    Gibson J J, 1950. The Perception of the Visual World. Houghton Mifflin.
    [4]
    Molina-Viedma Á J, López-Alba E, Felipe-Sesé L, et al. 2018. Modal parameters evaluation in a full-scale aircraft demonstrator under different environmental conditions using HS 3D-DIC. Materials, 11: 230. doi: 10.3390/ma11020230
    [5]
    Rothberg S J, Allen M S, Castellini P, et al. 2017. An international review of laser Doppler vibrometry: Making light work of vibration measurement. Optics and Lasers in Engineering, 99: 11-22. doi: 10.1016/j.optlaseng.2016.10.023
    [6]
    Sarrafi A, Mao Z, Niezrecki C, et al. 2018. Vibration-based damage detection in wind turbine blades using phase-based motion estimation and motion magnification. Journal of Sound and Vibration, 421: 300-318. doi: 10.1016/j.jsv.2018.01.050
    [7]
    Sun K H, Huh H, Tama B A, et al. 2020. Vision-based fault diagnostics using explainable deep learning with class activation maps. IEEE Access, 8: 129169-129179. doi: 10.1109/ACCESS.2020.3009852
    [8]
    Xu Y, Brownjohn J M W. 2018. Review of machine-vision based methodologies for displacement measurement in civil structures. J Civil Struct Health Monit, 8: 91-110. doi: 10.1007/s13349-017-0261-4
    [9]
    Yang Y C, Dorn C, Farrar C, et al. 2020. Blind, simultaneous identification of full-field vibration modes and large rigid-body motion of output-only structures from digital video measurements. Engineering Structures, 207: 110183. doi: 10.1016/j.engstruct.2020.110183
    [10]
    Yang R, Singh S K, Tavakkoli M, et al. 2020. CNN-LSTM deep learning architecture for computer vision-based modal frequency detection. Mechanical Systems and Signal Processing, 144: 106885. doi: 10.1016/j.ymssp.2020.106885
    [11]
    Zona A. 2021. Vision-based vibration monitoring of structures and infrastructures: An overview of recent applications. Infrastructures, 6: 4.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(2)

    Article Metrics

    Article views (1044) PDF downloads(186) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return