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Diagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysis

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dc.citedby1
dc.contributor.authorHee L.M.en_US
dc.contributor.authorLeong M.S.en_US
dc.contributor.authorInayat-Hussain J.I.en_US
dc.contributor.authorNgui W.K.en_US
dc.contributor.authorid57194262644en_US
dc.contributor.authorid7102006109en_US
dc.contributor.authorid6602271377en_US
dc.contributor.authorid55899481400en_US
dc.date.accessioned2023-05-29T06:00:04Z
dc.date.available2023-05-29T06:00:04Z
dc.date.issued2015
dc.description.abstractBlade faults detection under field conditions is often conducted using vibration spectrum analysis. However, this method is inherently less effective for blade faults diagnosis and classification due to information loss during signal transformation. This paper intents to explore more detailed vibration analysis methods to address this shortfall. A hybrid method which comprised of Rotor Dynamic Wavelet Scalogram (RDWS) and Blade Pass Vibration Signature (BPVS) analysis were thus formulated. An experimental study was conducted to validate the viability of the proposed hybrid method. Experimental results showed that RDWS offers a new perspective to envisage the different mechanisms of blade faults in the rotor (i.e. creep and rotor eccentricity induced rubbings) and thus enable blade faults classification to be undertaken. Meanwhile, BPVS analysis provides a quantitative approach to diagnose blade faults (i.e. to estimate the quantity and position of faulty blades) and to determine its severity. The hybrid method provides a more comprehensive tool to diagnose different types of blade faults via both qualitative and quantitative approaches, which could be used to complement the shortfall of vibration spectrum analysis. � Krishtel Emaging Solutions Pvt. Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.epage512
dc.identifier.issue4
dc.identifier.scopus2-s2.0-84940182594
dc.identifier.spage497
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84940182594&partnerID=40&md5=b936d1f1198a9d88c04a14a9ad9d0f41
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22299
dc.identifier.volume3
dc.publisherKrishtel eMaging Solutions Pvt. Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Vibration Engineering and Technologies
dc.titleDiagnosis of blade fault based on wavelet scalogram and blade pass vibration signature analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication
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