Title: Estimation of combustion engine technical state by multidimensional analysis using SVD method

Authors: Ronald M. Martinod; German R. Betancur; Leonel F. Castañeda; Tomasz Kałaczyński; Mariusz Żółtowski

Addresses: Mechanical Engineering Department, Universidad EAFIT, Cra. 49 N° 7 Sur – 50, Medellín, Colombia ' Mechanical Engineering Department, Universidad EAFIT, Cra. 49 N° 7 Sur – 50, Medellín, Colombia ' Mechanical Engineering Department, Universidad EAFIT, Cra. 49 N° 7 Sur – 50, Medellín, Colombia ' Wydział Inżynierii Mechanicznej, University of Technology and Life Sciences in Bydgoszcz, Ul. S. Kaliskiego 7, 85 – 796, Bydgoszcz, Poland ' Wydział Inżynierii Mechanicznej, University of Technology and Life Sciences in Bydgoszcz, Ul. S. Kaliskiego 7, 85 – 796, Bydgoszcz, Poland

Abstract: The 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.

Keywords: combustion engines; diagnostic inference; engine damage; symptoms; coherence function; Neyman-Pearson theory; probability density function; PDF; singular value decomposition; SVD; multivariable regression; vibration analysis; vehicle vibration; engine vibration; vibroacoustics.

DOI: 10.1504/IJVSMT.2013.054476

International Journal of Vehicle Systems Modelling and Testing, 2013 Vol.8 No.2, pp.105 - 118

Received: 22 Aug 2011
Accepted: 12 Jun 2012
Published online: 19 Jul 2014 *

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