• DocumentCode
    189926
  • Title

    Inflight helicopter blade track measurement using computer vision

  • Author

    Hanif, Akhtar ; Yousaf, M. Haroon ; Fazil, Adnan ; Akhtar, Suhail

  • Author_Institution
    Dept. of Avionics Eng., Air Univ., Islamabad, Pakistan
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    56
  • Lastpage
    61
  • Abstract
    Different type of vibrations are inherent in helicopters which cause discomfort to the crew, structural fatigue and other problems which may lead to accidents. Vertical vibrations are due to the out of track conditions i.e. the blades of the helicopter being out of track. The objective of this research work is to minimize the vertical vibrations by improving the blade tracking using image processing. The proposed work is low-cost as compared to the other methods being used by the aviation industry and very simple to understand. This method consists of several steps which include: image filtering, image thresholding, position finding of each blade and conversion of pixels´ distance into real-world distance. At the end the difference between tips of each blade is calculated with respect to a reference blade. The experimental results show that the proposed work is very effective and accurate.
  • Keywords
    aerospace accidents; blades; computer vision; ergonomics; fatigue; helicopters; image filtering; image segmentation; object tracking; vibration control; aviation industry; blade tracking; computer vision; helicopters; image filtering; image processing; image thresholding; inflight helicopter blade track measurement; position finding; structural fatigue; track conditions; vertical vibration minimization; Blades; Cameras; Helicopters; Radar tracking; Rotors; Sensors; Vibrations; blade tracking; rotor track & balance; rotor tracking; vertical vibrations in aircrafts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Region 10 Symposium, 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-2028-0
  • Type

    conf

  • DOI
    10.1109/TENCONSpring.2014.6862997
  • Filename
    6862997