Cyclostationary analysis of rolling element bearing vibration signals

Glossiotis, GN; Antoniadis, IA

dc.contributor.author	Glossiotis, GN	en
dc.contributor.author	Antoniadis, IA	en
dc.date.accessioned	2014-03-01T02:41:50Z
dc.date.available	2014-03-01T02:41:50Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30622
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035791116&partnerID=40&md5=182b08462882eec74d98669c4dcad3a9	en
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0035791116&partnerID=40&md5=182b08462882eec74d98669c4dcad3a9	en
dc.subject	Bearing	en
dc.subject	Cyclostationarity	en
dc.subject	Fault detection	en
dc.subject	Periodically stationary	en
dc.subject	Vibration analysis	en
dc.subject.other	Computer simulation	en
dc.subject.other	Failure analysis	en
dc.subject.other	Lubrication	en
dc.subject.other	Mathematical models	en
dc.subject.other	Modulation	en
dc.subject.other	Natural frequencies	en
dc.subject.other	Roller bearings	en
dc.subject.other	Rotating machinery	en
dc.subject.other	Statistical methods	en
dc.subject.other	Wear of materials	en
dc.subject.other	Cyclostationary analysis	en
dc.subject.other	Fault detection	en
dc.subject.other	Rolling element bearings	en
dc.subject.other	Vibration response	en
dc.subject.other	Vibration signals	en
dc.subject.other	Vibrations (mechanical)	en
dc.title	Cyclostationary analysis of rolling element bearing vibration signals	en
heal.type	conferenceItem	en
heal.publicationDate	2001	en
heal.abstract	Vibration signals resulting from rolling element bearings present a rich content of physical information, the proper analysis of which can lead among others to the identification of possible faults. Traditionally, this analysis is performed by the use of signal processing methods, which assume statistically stationary signal features. The paper proposes an alternative framework for analyzing bearing vibration signals, based on cyclostationary analysis. This framework, being able to model additionally signals with periodically varying statistics, is better able to exhibit the underlying physical concepts of the modulation mechanism, present in the vibration response of bearings. The basic concepts of the approach are demonstrated both in illustrative simulation results, as well as in experimental results and industrial measurements for two different types of bearing faults.	en
heal.journalName	Proceedings of the ASME Design Engineering Technical Conference	en
dc.identifier.volume	6 C	en
dc.identifier.spage	3197	en
dc.identifier.epage	3204	en