Title :
Modeling of the measurement channel of outlet gases of the aviation engine using neural networks
Author :
F. Adamčík;R. Andoga;P. Krajňák;L. Madarász
Author_Institution :
Technical University of Koš
fDate :
6/1/2011 12:00:00 AM
Abstract :
The article is focused on diagnostics in the field of aviation turbo-jet engines. Evaluation of their technical status, and potential failures and pre-failure processes can be improved by monitoring their thermally loaded components. Part of the research in the given area also involves mathematical modeling of the channel measuring the exhaust gases temperature, using neural networks to compensate for dynamic errors of slow thermocouples used in such measurements.
Keywords :
"Temperature measurement","Artificial neural networks","Temperature sensors","Mathematical model","Temperature","Engines","Computational modeling"
Conference_Titel :
Intelligent Engineering Systems (INES), 2011 15th IEEE International Conference on
Print_ISBN :
978-1-4244-8954-1
DOI :
10.1109/INES.2011.5954756
