Internal combustion engine diagnostics using statistically processed Wiebe function

• Autorzy: Famfulik Jan , Richtar Michal , Smiraus Jakub , Muckova Petra , Sarkan Branislav , Dresler Pavel

Identyfikatory

DOI

10.17531/ein.2021.3.11

• Języki publikacji: EN

Abstrakty

EN

The aim of the article is to present the concept of an indirect diagnostic method using the assessment of the variability of the amount of released heat (mass fraction burn) and the heat release rate. The Wiebe function for the assessment of variability has been used. The Wiebe function parameters from the course of the high-pressure indication in the cylinder of internal combustion engine using linear regression have been calculated. From a sufficiently large number of measured samples, the upper and lower limits of the Wiebe function parameters have been statistically determined. Lower and upper limits characterize variability of the heat release process not only in terms of quantity but also in terms of heat release rate. The assessment of variability is thus more complicated than using one integral indicator, typically the mean value of amount of the released heat. The procedure enabling a more accurate estimation of heat generation beginning has been shown. For the combustion process variability assessment of the engine, statistical test of relative frequencies has been used.

Słowa kluczowe

EN

automotive engineering; engine diagnostics; Wiebe function; parameters estimation; statistics; technical condition

• Wydawca: Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne
• Czasopismo: Eksploatacja i Niezawodność
• Rocznik: 2021
• Tom: Vol. 23, no. 3
• Strony: 505--511
• Opis fizyczny: Bibliogr. 34 poz., rys., tab.

Twórcy

autor

Famfulik Jan

• VSB – Technical University Ostrava, Faculty of Mechanical Engineering, Institute of Transport, 17. Listopadu 15, Ostrava – Poruba, 708 00, Czech Republic

autor

Richtar Michal

• VSB – Technical University Ostrava, Faculty of Mechanical Engineering, Institute of Transport, 17. Listopadu 15, Ostrava – Poruba, 708 00, Czech Republic

autor

Smiraus Jakub

• VSB – Technical University Ostrava, Faculty of Mechanical Engineering, Institute of Transport, 17. Listopadu 15, Ostrava – Poruba, 708 00, Czech Republic

autor

Muckova Petra

• VSB – Technical University Ostrava, Faculty of Mechanical Engineering, Institute of Transport, 17. Listopadu 15, Ostrava – Poruba, 708 00, Czech Republic

autor

Sarkan Branislav

• University of Zilina, Faculty of Operations and Economic of Transport and Communications, Department of Road and Urban Transport, Univerzitna 1, 010 26, Zilina, Slovakia

autor

Dresler Pavel

• VSB – Technical University Ostrava, Faculty of Mechanical Engineering, Institute of Transport, 17. Listopadu 15, Ostrava – Poruba, 708 00, Czech Republic

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).