• DocumentCode
    2508382
  • Title

    Vision-based measurements for slender structures vibration monitoring

  • Author

    Busca, Giorgio ; Cigada, Alfredo ; Manenti, Alessandra ; Zappa, Emanuele

  • Author_Institution
    Dipt. di Meccanica, Politec. di Milano, Milan, Italy
  • fYear
    2009
  • fDate
    25-25 Sept. 2009
  • Firstpage
    98
  • Lastpage
    102
  • Abstract
    Monitoring of structures requires vibration measurements to both estimate structural parameters and early predict potential disasters. The problem is crucial in particular in slender structures, where the use of classic techniques (such as accelerometer-based measurements and the strain estimation using either electric or optical-fibre strain gauges) presents some limitations. In these latter cases contactless measuring techniques would be preferred in order to avoid loading effects and, above all, to measure the vibration in many points contemporarily with a single transducer (a camera). An image-based vibration measurement technique is proposed and qualified in this paper and an application to overhead transmission lines (OHTL) is shown as an example.
  • Keywords
    computer vision; mechanical engineering computing; overhead line mechanical characteristics; structural engineering; vibration measurement; contactless measuring techniques; image-based vibration measurement technique; overhead transmission lines; slender structure vibration monitoring; vision-based measurements; Cameras; Condition monitoring; Electric variables measurement; Parameter estimation; Particle measurements; Strain measurement; Structural engineering; Transducers; Transmission line measurements; Vibration measurement; cables; measurements; monitoring; vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental, Energy, and Structural Monitoring Systems, 2009. EESMS 2009. IEEE Workshop on
  • Conference_Location
    Crema
  • Print_ISBN
    978-1-4244-4847-0
  • Electronic_ISBN
    978-1-4244-4848-7
  • Type

    conf

  • DOI
    10.1109/EESMS.2009.5341309
  • Filename
    5341309