Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets

Nikolaou, NG; Antoniadis, IA

dc.contributor.author	Nikolaou, NG	en
dc.contributor.author	Antoniadis, IA	en
dc.date.accessioned	2014-03-01T01:17:41Z
dc.date.available	2014-03-01T01:17:41Z
dc.date.issued	2002	en
dc.identifier.issn	0888-3270	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14618
dc.subject	Critical Parameter	en
dc.subject	Selection Criteria	en
dc.subject	Time Frequency Representation	en
dc.subject.classification	Engineering, Mechanical	en
dc.subject.other	Bearings (machine parts)	en
dc.subject.other	Demodulation	en
dc.subject.other	Identification (control systems)	en
dc.subject.other	Wavelet transforms	en
dc.subject.other	Rolling element bearings	en
dc.subject.other	Vibrations (mechanical)	en
dc.title	Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted Morlet wavelets	en
heal.type	journalArticle	en
heal.identifier.primary	10.1006/mssp.2001.1459	en
heal.identifier.secondary	http://dx.doi.org/10.1006/mssp.2001.1459	en
heal.language	English	en
heal.publicationDate	2002	en
heal.abstract	Vibration signals resulting from rolling element bearing defects, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the fault. The envelope detection or demodulation methods have been established as the dominant analysis methods for this purpose, since they can separate the useful part of the signal from its redundant contents. This paper proposes an effective demodulation method, based on the use of a complex shifted Morlet wavelet family. The method is designed in a way that can fully exploit the underlying physical concepts of the modulation mechanism, present in the vibration response of faulty bearings, using a time-frequency representation of the signal. A key element of the proposed method is the systematic introduction of selection criteria for the automated choice of the critical parameters that characterise the Morlet wavelet family used. Experimental results and industrial measurements for two different types of bearing faults confirm the validity of the overall approach. (C) 2002 Published by Elsevier Science Ltd.	en
heal.publisher	ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD	en
heal.journalName	Mechanical Systems and Signal Processing	en
dc.identifier.doi	10.1006/mssp.2001.1459	en
dc.identifier.isi	ISI:000177625600009	en
dc.identifier.volume	16	en
dc.identifier.issue	4	en
dc.identifier.spage	677	en
dc.identifier.epage	694	en