Estimating Instrumentation Data Acquired During Flight Test of a Helicopter using Predictor Models

Coskun B., GENÇ B.

19th International Conference on Smart Technologies (IEEE EUROCON), Lviv, Ukrayna, 6 - 08 Temmuz 2021, ss.164-169 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/eurocon52738.2021.9535625
  • Basıldığı Şehir: Lviv
  • Basıldığı Ülke: Ukrayna
  • Sayfa Sayıları: ss.164-169
  • Anahtar Kelimeler: helicopter, flight test, instrumentation, data confidence, data prediction
  • Hacettepe Üniversitesi Adresli: Evet

Özet

In this paper, we propose a hybrid system consisting of decision trees and neural networks to calculate the measurement faults of sensor readings and to predict the actual values in a flight test of a helicopter in production. We present the architecture of the models, and extensive test results.