Uçuşa Elverişlilik İçin Derin Öğrenme Tabanlı Pist Yüzeyi Çatlak Tespiti Yaklaşımı

Uçuş emniyeti, havacılık endüstrisindeki önemli konulardan biridir. Uçuş emniyetini doğrudan etkileyen hususlardan biri ise uçuş pistlerinin yüzey şartlarıdır. Pistlerin yüzey şartlarının denetim ve kontrolleri güvenli bir uçuş için büyük önem arz eder. Pist yüzeylerinde denetlenen başlıca durumlar, çatlama, kırılma, kopma, açılma ve kabarma gibi zemin hasarlarıdır. İlgili denetimsel işlemler zaman alıcı süreçler olup, alanında eğitim almış uzman personel tarafından yapılmaktadır. Derin öğrenme, son yıllarda popülerliği oldukça artan bir makine öğrenmesi yaklaşımıdır. Bu çalışmada, uçuş pistlerinin yüzeylerindeki çatlaklıkların tespitini yapmak amacıyla iki farklı derin öğrenme modeli geliştirilmiştir. İlk model bu çalışmaya yönelik baştan tasarlanan ve sıfırdan eğitilen özgün bir evrişimli sinir ağı iken; ikinci model AlexNet mimarisinin aktarmalı öğrenme yoluyla bu çalışmaya özgü eğitilmiş sürümüdür. Modeller, veriler üzerinde test edilmiş ve elde ettikleri başarı oranları raporlanmıştır.

Anahtar Kelimeler:

Uçuşa Elverişlilik, Pist Yüzey Denetimi, Derin Öğrenme, Evrişimli Sinir Ağları

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