• DocumentCode
    1753780
  • Title

    Vibration Damper Recognition of Transmission System Based on Unmanned Aerial Vehicles

  • Author

    Liu, Yuan ; Jin, Lijun

  • Author_Institution
    Coll. of Electron. & Inf. Eng., Tongji Univ., Shanghai, China
  • fYear
    2011
  • fDate
    25-28 March 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Helicopter can be used to detect and identify a variety of power equipments along the transmission lines, and diagnose the fault types of equipments. This paper presents a method based on Adaboost for vibration damper recognition of transmission system. Adaboost classifier is an accurate learner. Strong classifiers, which are composed of a group of weak classifiers by certain rules, can build up a fast and accurate classifier by cascade. Experiment results show the feasibility of the method.
  • Keywords
    fault diagnosis; power overhead lines; remotely operated vehicles; vibrations; Adaboost algorithm; fault diagnosis; helicopter; overhead transmission line; power equipments; transmission system; unmanned aerial vehicles; vibration damper recognition; Algorithm design and analysis; Classification algorithms; Inspection; Power transmission lines; Shock absorbers; Training; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
  • Conference_Location
    Wuhan
  • ISSN
    2157-4839
  • Print_ISBN
    978-1-4244-6253-7
  • Type

    conf

  • DOI
    10.1109/APPEEC.2011.5748636
  • Filename
    5748636