Noise and Performances Analysis of Commerical Aircrafts using Artificial Neural Networks

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dc.contributor.authorYildirim, Şahin
dc.date.accessioned2015-03-18T07:33:16Z
dc.date.available2015-03-18T07:33:16Z
dc.date.issued2015-03-18
dc.description.abstractCommerical 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.hu_HU
dc.identifier.doi10.17667/riim.2015.1-2/9.hu_HU
dc.identifier.issn2064-9622hu_HU
dc.identifier.issueNo. 1-2.hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/208331
dc.identifier.volumeVol. 2. (2015).hu_HU
dc.language.isoenhu_HU
dc.publisherDebreceni Egyetemi Kiadó – Debrecen University Presshu_HU
dc.publisher.placeDebrecenhu_HU
dc.rightsNevezd meg! - Ne add el! - Ne változtasd! 2.5 Magyarország*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/hu/*
dc.subjectNeural predictorhu_HU
dc.subjectnoisehu_HU
dc.subjectturbibehu_HU
dc.subjectfanhu_HU
dc.subjectjet of aircrafthu_HU
dc.titleNoise and Performances Analysis of Commerical Aircrafts using Artificial Neural Networkshu_HU
dc.typeArticlehu_HU
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Recent Innovations in Mechatronics