Identification of the internal combustion engine malfunctions based on the vibrations of the vehicle body

• Autorzy: Mamala Jarosław , Prażnowski Krzysztof , Graba Mariusz

Identyfikatory

DOI

10.19206/CE-2019-429

• Języki publikacji: EN

Abstrakty

EN

Selected parameters of an IC engine were correlated with vibrations transferred to the vehicle body with the aim of identifying engine malfunctions. Registered acceleration component signals were analyzed in the aspect of frequency. A reasoning model based on devised identification matrix was used to classify obtained data. This allowed the authors to estimate the possibility of research object damage/malfunctions with an assumed degree of probability.

Słowa kluczowe

EN

vibrations; vehicle diagnostics; Fourier transform

PL

drgania; diagnostyka pojazdów; transformacja Fouriera

• Wydawca: Polskie Towarzystwo Naukowe Silników Spalinowych
• Czasopismo: Combustion Engines
• Rocznik: 2019
• Tom: R. 58, nr 4
• Strony: 176--181
• Opis fizyczny: Bibliogr. 10 poz., 1 il. kolor., fot., wykr.

Twórcy

autor

Mamala Jarosław

• Faculty of Mechanical Engineering, Opole University of Technology

autor

Prażnowski Krzysztof

• Faculty of Mechanical Engineering, Opole University of Technology

autor

Graba Mariusz

• Faculty of Mechanical Engineering, Opole University of Technology

Bibliografia

• [1] AHMAD, TAGHIZADEH-ALISARAEI, ALIREZA, MAH-DAVIAN, Fault detection of injectors in diesel engines using vibration time-frequency analysis, 2019. Applied Acoustics. 2019, 143, 48-58.
• [2] ETTEFAGH, M.M., SADEGHI, M.H., PIROUZPANAH, V., ARJMANDI TASH, H. Knock detection in spark ignition engines by vibration analysis of cylinder block: A parametric modeling approach. Mech Syst Signal Process. 2008, 22, 1495-514. DOI: 10.1016/j.ymssp.2007.11.027
• [3] ANTONI, J. Cyclostationarity by examples. Mech Syst Signal Process. 2009, 23, 987-1036. DOI: 10.1016/ j.ymssp.2008.10.010
• [4] GENG, Z., CHEN, J., HULL, J.B., BARRY HULL, J. Analysis of engine vibration and design of an applicable diagnosing approach. Int J Mech Sci. 2003, 45, 1391-1410. DOI: 10.1016/j.ijmecsci.2003.09.012
• [5] KORBICZ, J., KOŚCIELNY, J., KOWALCZUK, Z., CHOLEWA, W. Diagnostyka procesów. Modele, metody sztucznej inteligencji, zastosowania. WNT. Warszawa 2002.
• [6] CEMPEL, C. Drgania mechaniczne - wprowadzenie. Wydawnictwo Politechniki Poznańskiej. Poznań 1984.
• [7] PRAŻNOWSKI, K., MAMALA, J. Problems in assessing pneumatic wheel unbalance of a passenger car determined with test road in normal conditions. SAE Technical Paper. 2017.
• [8] PRAŻNOWSKI, K., MAMALA, J. Classification of the road surface condition on the basis of vibrations of the sprung mass in a passenger car. IOP Conference Series: Materials Science and Engineering, Zakopane 2016.
• [9] BROL, S., MAMALA, J. Application of spectral and wave-let analysis in power train system diagnostic. SAE Technical Paper. 2010.
• [10] WAJAND, J.A., WAJAND, J.T. Tłokowe silniki spalinowe średnio i szybkoobrotowe. WNT. Warszawa 2000.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).