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Identification and classification of selected internal combustion engine inefficiency based on vehicle structure vibrations

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The combustion engine generates forced vibrations, caused by periodically acting external forces resulting from the combustion of the fuel-air mixture. Any changes in this process cause an increase in the value of vibration amplitude and a change in the distribution of harmonics dominating in the frequency domain. In order to identify selected malfunctions of the internal combustion engine of the Polaris off-road vehicle tested, its current parameters were correlated with the vibrations transmitted to the vehicle's structural elements. An integrated sensor for measuring acceleration using the direct method, made in MEMS technology, was used for the tests. The recorded signals of the acceleration components were subjected to analysis in the frequency domain, thus identifying the characteristic harmonic components in the analyzed spectrum. For the classification of incompleteness based on registered signals, a diagnostic inference matrix based on our own algorithm of conduct was used.
Rocznik
Strony
art. no. 2020110
Opis fizyczny
Bibliogr. 15 poz., 1 fot. folor., 1 rys., wykr.
Twórcy
  • Opole University of Technology, Mechanical Department, Mikołajczyka Street 5, 45-271 Opole
  • Opole University of Technology, Mechanical Department, Mikołajczyka Street 5, 45-271 Opole
  • Opole University of Technology, Mechanical Department, Mikołajczyka Street 5, 45-271 Opole
  • Opole University of Technology, Mechanical Department, Mikołajczyka Street 5, 45-271 Opole
Bibliografia
  • 1. J. A. Wajand, J. T. Wajand, Medium and high speed piston internal combustion engines (in Polish), WNT, Warsaw 2000.
  • 2. J. Grajales, H. Quintero, J. López, C. Romero, E. Henao, O. Cardona, Engine diagnosis based on vibration analysis using different fuelblends, Diagnostic 18(4) (2017) 27 - 36.
  • 3. J. A. Grajales, H. F. Quintero, C. A. Romero, E. Henao, J. F. López, D. Torres, Combustion pressure estimation method of a spark ignited combustion engine based on vibration signal processing, Journal of Vibroengineering, 18(7) (2016) 4237 - 4247.
  • 4. A. Taghizadeh-Alisaraei, A. Mahdavian, Fault detection of injectors in diesel engines using vibration time-frequency analysis, App. Acoustics, 143 (2019) 48 - 58.
  • 5. J. Flett, G. M. Bone, Fault detection and diagnosis of diesel engine valve trains, Mech. Sys. and Sig. Proc., 72-73 (2016) 316 - 327.
  • 6. Z. Geng, J. Chen, J. B. Hull, Analysis of engine vibration and design of an applicable diagnosing approach, Int. J of Mech. Sciences, 45(8) (2003) 1391 - 1410.
  • 7. M. Ettefagh, M. Sadeghi, V. Pirouzpanah, H. Arjmandi Tash, Knock detection in spark ignition engines by vibration analysis of cylinder block: A parametric modeling approach, Mech. Sys. and Sig. Proc., 22 (2008) 1495 - 514.
  • 8. S. Delvecchio, P. Bonfiglio, F. Pompoli, Vibro-acoustic condition monitoring of Internal Combustion Engines: A critical review of existing technique, Mech. Sys. and Sig. Proc., 99 (2018) 661 - 683.
  • 9. R. Sroka, Determining the impact of switching off ZI engine cylinders on changes in the engine's vibroacoustic signal (in Polish), Transport, Silesian University of Technology 2008.
  • 10. R. Burdzik, Research on the influence of engine rotational speed to the vibration penetration into the driver via feet - multidimensional analysis, J of Vibroeng., 15(4) (2013) 2114 - 2123.
  • 11. J. Dziurdź, Analysis of nonlinear phenomena in the diagnosis of vehicle propulsion systems (in Polish), Warsaw-Radom 2013.
  • 12. K. Jafarin, M. Mobin, R. Jafari-Marandi, E. Rabiei, Misfire and valve clearence faults detaction in the combustion engines based on a multi- sensor vibration signal monitoring, Measurement, 128 (2018) 527 - 536.
  • 13. K. Prażnowski, J. Mamala, Problems in Assessing Pneumatic Wheel Unbalance of a Passenger Car Determined with Test Road in Normal Conditions, SAE Tech. Pap., Grand Rapids 2017.
  • 14. K. Prażnowski, J. Mamala, Classification of the road surface condition on the basis of vibrationsof the sprung mass in a passenger car, IOP Conference Series: Mat. Scienc. and Engineering, Zakopane 2016.
  • 15. J. Korbicz, J. Kościelny, Z. Kowalczuk, W. Cholewa, Process diagnostics, Models, artificial intelligence methods, applications (in Polish), WNT Warszawa 2002.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a01bd163-d847-47a3-9e83-e2263b0a5136
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