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, Ukraine, 6 - 08 July 2021, pp.164-169, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/eurocon52738.2021.9535625
  • City: Lviv
  • Country: Ukraine
  • Page Numbers: pp.164-169
  • Keywords: helicopter, flight test, instrumentation, data confidence, data prediction
  • Hacettepe University Affiliated: Yes

Abstract

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.