Noise and Performances Analysis of Commerical Aircrafts using Artificial Neural Networks

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dc.contributor.authorYildirim, Şahin
dc.date.accessioned2020-09-11T08:33:27Z
dc.date.available2020-09-11T08:33:27Z
dc.date.issued2015-04-07
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.en
dc.formatapplication/pdf
dc.identifier.citationRecent Innovations in Mechatronics, Vol. 2 No. 1-2. (2015) , 1-6.
dc.identifier.doihttps://doi.org/10.17667/riim.2015.1-2/9.
dc.identifier.eissn2064-9622
dc.identifier.issue1-2.
dc.identifier.jtitleRecent Innovations in Mechatronics
dc.identifier.urihttps://hdl.handle.net/2437/295710en
dc.identifier.volume2
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/rIim/article/view/3799
dc.rights.accessOpen Access
dc.rights.ownerby the authors
dc.subjectNeural predictoren
dc.subjectnoiseen
dc.subjectturbibeen
dc.subjectfanen
dc.subjectjet of aircraften
dc.titleNoise and Performances Analysis of Commerical Aircrafts using Artificial Neural Networksen
dc.typefolyóiratcikkhu
dc.typearticleen
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