A Review on Visual Inspection Methods for Aircraft Maintenance
Keywords:
Aircraft, Visual Inspection, Maintenance, Deep LearningAbstract
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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The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.
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