Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/8595
Title: Rolling element bearings fault identification in rotating machines, existing methods of vibration signal processing techniques and practical considerations
Authors: Zuber, Ninoslav 
Cvetković, Dragana
Issue Date: 28-Oct-2013
Journal: Applied Mechanics and Materials
Abstract: This paper addresses the suitability of vibration monitoring and analysis techniques to detect different types of defects in roller element bearings. Processing techniques are demonstrated on signals acquired from the test rig with defective bearings. As a result it is shown that there is no reliable universal method for bearing failure monitoring from its early occurence up to bearings failure. Two real life case studies with different types of bearing failures are presented with practical considerations on methods used for failure identification. © (2013) Trans Tech Publications, Switzerland.
URI: https://open.uns.ac.rs/handle/123456789/8595
ISBN: 9783037858776
ISSN: 16609336
DOI: 10.4028/www.scientific.net/AMM.430.70
Appears in Collections:FTN Publikacije/Publications

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