Title :
Implementation of the majority method for engine speed diagnostics of the turbojet engine MPM-20
Author :
L. Madarász;R. Andoga;L. Főző;T. Karol;J. Judičák
Author_Institution :
Technical University of Koš
fDate :
6/1/2011 12:00:00 AM
Abstract :
The paper deals with modeling and diagnostics of complex systems. In the area of modeling, the authors describe dynamic models of dependence of speed upon fuel flow supply of a small turbojet engine MPM-20. The first model is done with use of neural networks and the second is a linear model. Both models are then methodologically incorporated into the diagnostic and backup system of the optical sensor measuring the speed of the engine.
Keywords :
"Engines","Artificial neural networks","Aircraft propulsion","Computational modeling","Artificial intelligence","Safety","Data models"
Conference_Titel :
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Print_ISBN :
978-1-4244-8954-1
DOI :
10.1109/INES.2011.5954720