Estimating the Effect of Structural Damage On The Flight By Using Machine Learning

Dikbayir H. S., BÜLBÜL H. İ.

17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), Florida, Amerika Birleşik Devletleri, 17 - 20 Aralık 2018, ss.1333-1337 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/icmla.2018.00216
  • Basıldığı Şehir: Florida
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1333-1337
  • Gazi Üniversitesi Adresli: Evet

Özet

Structural health monitoring is focused on damage detection or approximate estimation of damage size. By predicting the damage or effect of damages, possible accidents could be prevented. This paper proposes to apply a machine learning technique to estimate the effect of structural damage made by animals on the flight. The classification algorithms are applied and results of them are compared by using an extensive set of real bird strikes data.