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Wavelet based demodulation of vibration signals generated by defects in rolling element bearings

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dc.contributor.author Yiakopoulos, CT en
dc.contributor.author Antoniadis, IA en
dc.date.accessioned 2014-03-01T02:42:02Z
dc.date.available 2014-03-01T02:42:02Z
dc.date.issued 2001 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30741
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0035791522&partnerID=40&md5=7ca101a0f7d69e62dc3e2e1525b7af43 en
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0035791522&partnerID=40&md5=7ca101a0f7d69e62dc3e2e1525b7af43 en
dc.subject Bearing en
dc.subject Demodulation en
dc.subject Envelope en
dc.subject Fault detection en
dc.subject Wavelets en
dc.subject.other Bandpass filters en
dc.subject.other Demodulation en
dc.subject.other Failure analysis en
dc.subject.other Frequency domain analysis en
dc.subject.other Frequency modulation en
dc.subject.other Low pass filters en
dc.subject.other Natural frequencies en
dc.subject.other Roller bearings en
dc.subject.other Time domain analysis en
dc.subject.other Wavelet transforms en
dc.subject.other Envelope detection en
dc.subject.other Fault diagnosis en
dc.subject.other Rolling element bearings en
dc.subject.other Vibration signals en
dc.subject.other Vibrations (mechanical) en
dc.title Wavelet based demodulation of vibration signals generated by defects in rolling element bearings en
heal.type conferenceItem en
heal.publicationDate 2001 en
heal.abstract Envelope detection or demodulation methods for bearing vibration response signals have been established as a dominant analysis method for bearing fault diagnosis, since they can separate the useful part of the signal from its redundant contents. A new effective demodulation method is proposed, based on the Discrete Wavelet Transform (DWT). The method fully exploits the underlying physical concepts of the modulation mechanism, present in the vibration response of faulty bearings, using the excellent time-frequency localization properties of the wavelet analysis. Two key elements, resulting to the successful implementation of the method, are its practical independence from the choice of the specific wavelet family to be used and the limited number of the wavelet levels, that are required for its practical application. Experimental results and industrial measurements for three different types of bearing faults, confirm the validity of the overall approach. en
heal.journalName Proceedings of the ASME Design Engineering Technical Conference en
dc.identifier.volume 6 C en
dc.identifier.spage 3187 en
dc.identifier.epage 3195 en


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