Estimating Instrumentation Data Acquired During Flight Test of a Helicopter using Predictor Models
19th International Conference on Smart Technologies (IEEE EUROCON), Lviv, Ukrayna, 6 - 08 Temmuz 2021, ss.164-169, (Tam Metin Bildiri)
- 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.