Open AccessNoise and Performances Analysis of Commerical Aircrafts using Artificial Neural Networks
Author(s) -
Şahin Yıldırım
Publication year - 2015
Publication title -
recent innovations in mechatronics
Language(s) - English
Resource type - Journals
ISSN - 2064-9622
DOI - 10.17667/riim.2015.1-2/9.
Subject(s) - artificial neural network , noise (video) , computer science , turbine , engineering , artificial intelligence , aeronautics , aerospace engineering , image (mathematics)
Commerical aircrafts are very important part for airway travelling. In spite of high technology on aircrafts, there is still fatality accidents in the world. Because of this reason, it is very important criteria to analyse noises of main elements of the air-craft systems. In tis study, an aircraft’s main disturbances are analysed with proposed neural networks. Firstly, the noises of the jet, turbine and fan were measured from the aircraft. Secondly, the measured parameter values were predicted the proposed neural networks. The results of the proposed neuarl approaches were shown that this type of neural predictors will be employed to predict aircrafts unpredicted disturbances in real time applications.