Tracking Filter Design for Predictive Maintenance of Jet Engine - Different Approaches and Their Comparison

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dc.contributor.authorKunz, Jancs
dc.contributor.authorČala, Martincs
dc.contributor.authorPikula, Stanislavcs
dc.contributor.authorBeneš, Petrcs
dc.coverage.issue4cs
dc.coverage.volume68cs
dc.date.issued2018-12-26cs
dc.description.abstractThe aim of this paper is to design, implement, test and compare several tracking filtration methods for predictive maintenance of a jet engine. Based on literature review multiple possible methods are described. Appropriate ones selected for further implementation are peak filtration, coherent demodulation, Vold-Kalman filtration and order analysis. Methods are tested to meet criteria set by an aircraft manufacturer and compared using simulated signals.en
dc.description.abstractThe aim of this paper is to design, implement, test and compare several tracking filtration methods for predictive maintenance of a jet engine. Based on literature review multiple possible methods are described. Appropriate ones selected for further implementation are peak filtration, coherent demodulation, Vold-Kalman filtration and order analysis. Methods are tested to meet criteria set by an aircraft manufacturer and compared using simulated signals.en
dc.formattextcs
dc.format.extent75-84cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationStrojnícky časopis. 2018, vol. 68, issue 4, p. 75-84.en
dc.identifier.doi10.2478/scjme-2018-0049cs
dc.identifier.issn0039-2472cs
dc.identifier.orcid0000-0002-6917-7950cs
dc.identifier.orcid0000-0003-0298-4149cs
dc.identifier.orcid0000-0002-4437-0412cs
dc.identifier.orcid0000-0002-3712-7107cs
dc.identifier.other155260cs
dc.identifier.researcheridE-1200-2017cs
dc.identifier.researcheridA-6017-2016cs
dc.identifier.researcheridB-1805-2008cs
dc.identifier.scopus7006828688cs
dc.identifier.urihttp://hdl.handle.net/11012/200883
dc.language.isoencs
dc.publisherSciendocs
dc.relation.ispartofStrojnícky časopiscs
dc.relation.urihttp://www.degruyter.com/view/j/scjme.2018.68.issue-4/scjme-2018-0049/scjme-2018-0049.xml?format=INTcs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0039-2472/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cs
dc.subjectPredictive maintenanceen
dc.subjectjet engineen
dc.subjecttracking filteren
dc.subjectVold-Kalman filteren
dc.subjectpeak filteren
dc.subjectorder analysisen
dc.subjectcoherent demodulationen
dc.subjectPredictive maintenance
dc.subjectjet engine
dc.subjecttracking filter
dc.subjectVold-Kalman filter
dc.subjectpeak filter
dc.subjectorder analysis
dc.subjectcoherent demodulation
dc.titleTracking Filter Design for Predictive Maintenance of Jet Engine - Different Approaches and Their Comparisonen
dc.title.alternativeTracking Filter Design for Predictive Maintenance of Jet Engine - Different Approaches and Their Comparisonen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-155260en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:08:37en
sync.item.modts2025.10.14 09:44:12en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav automatizace a měřicí technikycs

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