dc.contributor.author |
Nikolaou, NG |
en |
dc.contributor.author |
Antoniadis, IA |
en |
dc.date.accessioned |
2014-03-01T02:41:41Z |
|
dc.date.available |
2014-03-01T02:41:41Z |
|
dc.date.issued |
2001 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/30596 |
|
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-0035790805&partnerID=40&md5=e07c29cc5e139478acd8185732062630 |
en |
dc.relation.uri |
http://www.scopus.com/inward/record.url?eid=2-s2.0-0035790805&partnerID=40&md5=e07c29cc5e139478acd8185732062630 |
en |
dc.subject |
Bearing |
en |
dc.subject |
Envelope estimation |
en |
dc.subject |
Vibration |
en |
dc.subject |
Wavelet |
en |
dc.subject.other |
Algorithms |
en |
dc.subject.other |
Bearings (machine parts) |
en |
dc.subject.other |
Computer simulation |
en |
dc.subject.other |
Defects |
en |
dc.subject.other |
Failure analysis |
en |
dc.subject.other |
Fast Fourier transforms |
en |
dc.subject.other |
Modulation |
en |
dc.subject.other |
Parameter estimation |
en |
dc.subject.other |
Spectrum analysis |
en |
dc.subject.other |
Wavelet transforms |
en |
dc.subject.other |
Defect detection |
en |
dc.subject.other |
Morlet wavelet |
en |
dc.subject.other |
Rolling element bearing |
en |
dc.subject.other |
Time frequency envelope estimation method |
en |
dc.subject.other |
Vibration measurement |
en |
dc.title |
A time-frequency envelope estimation method for detection of bearing-localized defects |
en |
heal.type |
conferenceItem |
en |
heal.publicationDate |
2001 |
en |
heal.abstract |
This paper proposes a new method for the estimation of the envelope of signals resulting from rolling element bearing-localized defects, based on the use of a shifted Morlet wavelet family. Using a time-frequency representation of the signal, the method is designed in a way that can exploit the underlying physical concepts of the modulation mechanism, present in the vibration response of bearings with localized defects. Systematic selection criteria for the automated choice of the critical parameters that characterize the Morlet wavelet family are used. The method is evaluated by using actual vibration signals measured from bearings with defects at different locations. |
en |
heal.journalName |
Proceedings of the ASME Design Engineering Technical Conference |
en |
dc.identifier.volume |
6 A |
en |
dc.identifier.spage |
39 |
en |
dc.identifier.epage |
46 |
en |