A Review on Visual Inspection Methods for Aircraft Maintenance

Authors

  • Ramazan Duvar Kocaeli University
  • Mustafa Böyük
  • Oğuzhan Urhan

Keywords:

Aircraft, Visual Inspection, Maintenance, Deep Learning

Abstract

During aircraft maintenance, the control of damages such as crack, burn, corrosion should be done precisely. Therefore, the process can take a long time. In the case of rapid control, errors cannot be detected properly. However, since the control process is usually carried out by naked eye, it is quite open to human-induced risks. In recent years, with the expansion of the application area of artificial intelligence, the use of modern techniques in aircraft maintenance and breakdown operations has been increasing in the aviation industry. In this study, deep learning-based visual inspection methods involved in aircraft maintenance and repair are surveyed.

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Published

30-07-2021

How to Cite

[1]
R. Duvar, M. Böyük, and O. Urhan, “A Review on Visual Inspection Methods for Aircraft Maintenance”, JAST, vol. 14, no. 2, pp. 185–192, Jul. 2021.

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Section

Articles