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Prilog identifikaciji oštećenja zupčastih parova primenom tehnika analize signala mehaničkih vibracija

Contribution to gear pairs faults identification using mechanical vibration signal analysis techniques

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2016
Disertacija5002.pdf (5.788Mb)
Author
Bajrić, Rusmir
Mentor
Zuber, Ninoslav
Committee members
Vladić, Jovan
Šostakov, Rastislav
Cvetković, Dragan
Jašarević, Sabahudin
Zuber, Ninoslav
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Abstract
Disertacija obrađuje problematiku pronalaženja pouzdane tehnike analize signala mehaničkih vibracija s ciljem identifikacije analiziranih tipova oštećenja zupčastih parova. U disertaciji je predložen postupak redukcije dimenzionalnosti obeležja primenom metode analize glavnih komponenata. Istraživanje uspešno demonstrira primenu naprednih tehnika procesiranja signala vibracija i inteligentnih metoda u vibrodijagnostici zupčastih parova te omogućava osobama koje nisu specijalisti iz oblasti dijagnostike da procene stanje zupčastog para. Predložena su najuniverzalnija obeležja u vibrodijagnostici zupčastih parova baziranih na signalima vibracija prikupljenih na kućištu zupčastog prenosnika.
The dissertation deals with the issue of finding reliable signal analysis technique of mechanical vibrations to identify analyzed types of gear pair faults. The dissertation presents a method of reducing the dimensionality of features by using the method of principal components analysis. The study successfully demonstrates use of advanced signal processing techniques and artificial intelligent methods in diagnostics of gear pairs faults and allows engineers who are not specialists in the field to assess the condition of gear pair using vibration signals. The most universal features in diagnostics of gear pairs based on vibration signals collected on the gearbox housing are proposed.
Faculty:
Универзитет у Новом Саду, Факултет техничких наука
Date:
23-09-2016
Keywords:
Vibrodijagnostika / Vibration diagnostics / oštećenja zupčastih prenosnika / veštačka inteligencija / održavanje / gearbox faults / artificial intelligence / maintenance
[ Google Scholar ]
Handle
https://hdl.handle.net/21.15107/rcub_nardus_6804
URI
https://nardus.mpn.gov.rs/handle/123456789/6804
http://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146856838078471.pdf?controlNumber=(BISIS)101518&fileName=146856838078471.pdf&id=6474&source=NaRDuS&language=sr
http://www.cris.uns.ac.rs/record.jsf?recordId=101518&source=NaRDuS&language=sr

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