2021-04-122013-01-011745643617456444SCOPUS;2-s2.0-84879327508http://hdl.handle.net/10784/28321The 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.enghttps://v2.sherpa.ac.uk/id/publication/issn/1745-6436Coherence functionCombustion enginesDamageDiagnostic inferencesMultivariable regressionNeyman-pearsonPDFSymptomsCombustion equipmentEnginesProbability density functionVibration analysisSingular value decompositioninfo:eu-repo/semantics/article2021-04-12Martinod, R.M.Betancur, G.R.Castañeda, L.F.Kalaczynski, T.Zóltowski, M.10.1504/IJVSMT.2013.054476