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Aircraft Damage Classification By Using Machine Learning Methods, Tüzün Tolga İnan
Aircraft Damage Classification By Using Machine Learning Methods, Tüzün Tolga İnan
International Journal of Aviation, Aeronautics, and Aerospace
Safety is the most significant factor that affected incidents (non-fatal) and accidents (fatal) in civil aviation history related to scheduled flights. In the history of scheduled flights, the total incident and accident number until 2022 is 1988. In this study, 677 of them are taken into consideration since 11 September 2001. The purpose of this study is to reveal the factors that can classify type of aircraft damages such as none, minor and substantial in all-time incidents and accidents. ML algorithms with different configurations are applied for the classification process. The RFE and PCA are used to find the most …