Diagnostic and reliability model of an internal combustion engine
| 1 | Faculty of Civil and Transport Engineering, Poznan University of Technology. |
Submission date: 2019-09-07
Final revision date: 2019-11-22
Acceptance date: 2020-01-02
Publication date: 2020-03-30
Combustion Engines 2020,180(1), 41–46
KEYWORDS
TOPICS
ABSTRACT
The article presents a diagnostic and reliability model of an internal combustion engine that allows to assess the reliability status of the engine’s systems for a two-state model of operation and maintenance: functional – failed. The proposed diagnostic model is a qualitative-quantitative probabilistic model combining the reliability states of the engine systems with the values of the vibroacoustic diagnostic signal parameters. The conducted diagnostic and reliability experiments and simulation tests showed that based on the developed diagnostic and reliability model, it is possible to determine the reliability states of the engine.
ACKNOWLEDGEMENTS
Presented research and the paper are partly funded by Statutory Activities fund of the Institute of Combustion Engines and Transport, PUT (PL) 5/52/DSPB/1277
REFERENCES (11)
1.
AMPUŁA, D. Regresja jako metoda procesu predykcji. Problemy Techniki Uzbrojenia. 2014, 130, 67-78.
2.
BOBROWSKI, D. Probabilistyka w zastosowaniach technicznych. WNT. Warszawa 1980.
3.
CEMPEL, C. Podstawy wibroakustycznej diagnostyki maszyn. WNT. Warszawa 1982.
4.
GAVRILIUK, E.A., MANTSEROV, S.A. Fuzzy reliability model of systems for decision support in technical diagnostics. Proceedings of the II International Scientific and Practical Conference "Fuzzy Technologies in the Industry" (FTI 2018), Ulyanovsk, 2018.
5.
MURPHY, M.D., PAASCH, R. Reliability centered prediction technique for diagnostic modeling and improvement. Research in Engineering Design. 1997, 9(1), 35-45.
6.
NIZIŃSKI, S., RYCHLIK, A. Model diagnostyczny złożonego obiektu technicznego. Biuletyn WAT. 2011, LX, 1, 195-209.
7.
ORCZYK, M., TOMASZEWSKI, F. Method of reduction of diagnostic parameters during observation on the example of a combustion engine. MATEC Web of Conferences, 2017, 118, 00034. https://doi.org/10.1051/matecc....
8.
PIELECHA, I., SKOWRON, M., WISŁOCKI, K. Mathematical models formulation for the delay of SIDI injectors opening based on optical tests. Combustion Engines. 2016, 167(4), 8-21. https://doi.org/10.19206/CE-20....
9.
RABIEJ, M. Statystyka z programem Statistica. Wydawnictwo Helion. Gliwice 2012.
10.
SZYMAŃSKI, G.M., MISZTAL, W. Analysis of measurement points sensitivity of vibration signals on the stand of jet engine. Combustion Engines. 2017, 171(4), 279-282. https://doi.org/10.19206/CE-20....
11.
TOMASZEWSKI, F. Diagnostyczno-niezawodnościowe modele regresyjne silnika spalinowego lokomotywy. DIAGNOSTYKA 2000, II Międzynarodowy Kongres Diagnostyki Technicznej. 239-240, Warszawa, 2000.
Related articles
