dc.contributorUniversidad EAFIT. Departamento de Ingeniería Mecánica
dc.contributorEstudios en Mantenimiento (GEMI)
dc.creatorMartinod, R.M.
dc.creatorBetancur, G.R.
dc.creatorCastañeda, L.F.
dc.creatorKalaczynski, T.
dc.creatorZóltowski, M.
dc.date.accessioned2021-04-12T19:12:47Z
dc.date.available2021-04-12T19:12:47Z
dc.date.created2021-04-12T19:12:47Z
dc.date.issued2013-01-01
dc.identifier17456436
dc.identifier17456444
dc.identifierSCOPUS;2-s2.0-84879327508
dc.identifierhttp://hdl.handle.net/10784/28321
dc.identifier10.1504/IJVSMT.2013.054476
dc.description.abstractThe changes of vibration estimators as a result of engine maladjustment, waste, damage or failure are the main idea of vibrodiagnostic investigation. Diagnostic investigations that use vibration to determine the technical state of combustion engines are very difficult. A limited set of proposed methods could have use in diagnostics. This paper presents a validation of research results of the use of the singular value decomposition (SVD) method. The research object is a combustion engine with power 55 kW at 830 rpm, which is feasible to obtain signals generated by vibration, as well as investigate the influence of the engine in the variation of the vibroacoustic data. Using the SVD method is possible to decide which symptom in the observation matrix is the best to recognise the technical state of combustion engines. Copyright © 2013 Inderscience Enterprises Ltd.
dc.languageeng
dc.publisherInderscience Enterprises Ltd.
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84879327508&doi=10.1504%2fIJVSMT.2013.054476&partnerID=40&md5=a5ca2466f2789410c6adcc11f100d9f7
dc.relationDOI;10.1504/IJVSMT.2013.054476
dc.relationSCOPUS;2-s2.0-84879327508
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1745-6436
dc.sourceInternational Journal of Vehicle Systems Modelling and Testing
dc.subjectCoherence function
dc.subjectCombustion engines
dc.subjectDamage
dc.subjectDiagnostic inferences
dc.subjectMultivariable regression
dc.subjectNeyman-pearson
dc.subjectPDF
dc.subjectSymptoms
dc.subjectCombustion equipment
dc.subjectEngines
dc.subjectProbability density function
dc.subjectVibration analysis
dc.subjectSingular value decomposition
dc.titleEstimation of combustion engine technical state by multidimensional analysis using SVD method
dc.typeinfo:eu-repo/semantics/article
dc.typearticle
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typepublishedVersion


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