• DocumentCode
    141167
  • Title

    Outdoor Ice Accretion Estimation of Wind Turbine Blades Using Computer Vision

  • Author

    Akhloufi, Moulay ; Benmesbah, Nassim

  • Author_Institution
    Centre de Robot. et de Vision Industrielles, Levis, QC, Canada
  • fYear
    2014
  • fDate
    6-9 May 2014
  • Firstpage
    246
  • Lastpage
    253
  • Abstract
    In this paper, we present a new computer-vision based methodology to address the problem of remote ice detection and measurement on wind turbines operating in cold climate. Icing has a significant impact, affecting the productivity, causing premature wear, malfunction and damages that are hard to track. Manufacturers and operators are facing unpredictable losses that can reach millions of dollars. Algorithms were developed and experimented on images of wind turbines acquired by digital camera in outdoor conditions. Experiments show interesting and promising results for the future.
  • Keywords
    blades; cameras; computer vision; ice; mechanical engineering computing; wear; wind turbines; computer-vision based methodology; damages; digital camera; malfunction; outdoor ice accretion estimation; premature wear; productivity; remote ice detection; wind turbine blades; Blades; Ice; Image color analysis; Image segmentation; Shape; Temperature measurement; Wind turbines; Color vision; ice accretion measurement; image rectification; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision (CRV), 2014 Canadian Conference on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4799-4338-8
  • Type

    conf

  • DOI
    10.1109/CRV.2014.41
  • Filename
    6816850