Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains

dc.contributor.authorMohammad, Housamcs
dc.contributor.authorVlašic, Františekcs
dc.contributor.authorŽáček, Jiřícs
dc.contributor.authorMaya, Baraahcs
dc.contributor.authorMazal, Pavelcs
dc.coverage.issue23 Nov 2023cs
dc.coverage.volume23 Nov 202cs
dc.date.issued2023-11-23cs
dc.description.abstractThe continuous growth of wind power technology makes condition monitoring of wind turbine components crucially important for their operational efficiency. The main shaft bearings in wind turbines have been identified as one of the most critical components in the system, especially with the ongoing increase in rotor size and weight. This increase made the 4-point suspension drivetrain more preferable. In this study, we present a novel approach for condition monitoring of the main shaft bearings in a 2 Megawatt wind turbine with 4-point suspension drivetrain using primarily acoustic emission (AE). The focus was on the analysis of time and frequency domains of the AE signal, where the dominant frequency of each AE hit was identified and plotted back in the time domain to create the so-called dominant frequency map in specific time intervals for each bearing. A comparison between the two dominant frequency maps of the two bearings gives valuable insights into the condition of the two bearings. The distinctive nature of the dominant frequency bands in the dominant frequency maps presented promising potential for this method. The presented method is straightforward and can be automated and then integrated into a planned predictive maintenance programme for this wind turbine.en
dc.formattextcs
dc.format.extent24cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationNondestructive Testing and Evaluation. 2023, vol. 23 Nov 202, issue 23 Nov 2023, 24 p.en
dc.identifier.doi10.1080/10589759.2023.2283511cs
dc.identifier.issn1058-9759cs
dc.identifier.orcid0000-0003-2955-7112cs
dc.identifier.orcid0000-0002-5283-2461cs
dc.identifier.orcid0000-0002-2883-6702cs
dc.identifier.orcid0000-0002-9868-2358cs
dc.identifier.orcid0000-0003-1766-4666cs
dc.identifier.other186740cs
dc.identifier.researcheridAAY-2128-2020cs
dc.identifier.researcheridE-9838-2012cs
dc.identifier.researcheridABG-2621-2021cs
dc.identifier.researcheridAAZ-5618-2020cs
dc.identifier.researcheridG-3199-2012cs
dc.identifier.scopus58029524300cs
dc.identifier.scopus55607120100cs
dc.identifier.scopus58022110700cs
dc.identifier.urihttp://hdl.handle.net/11012/245129
dc.language.isoencs
dc.publisherTAYLOR & FRANCIS LTDcs
dc.relation.ispartofNondestructive Testing and Evaluationcs
dc.relation.urihttps://www.tandfonline.com/doi/full/10.1080/10589759.2023.2283511cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1058-9759/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectAcoustic emission (AE)en
dc.subjectwind turbine (WT)en
dc.subjectmain shaft bearingen
dc.subjectcondition monitoring (CM)en
dc.subjectdominant frequency (DF)en
dc.titleUsing acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrainsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.grantNumberinfo:eu-repo/grantAgreement/TA0/TN/TN02000010cs
sync.item.dbidVAV-186740en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:48:46en
sync.item.modts2025.01.17 16:37:51en
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav konstruovánícs
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