Application of multidimensional statistical model for evaluation of measured data obtained from testing of the hcci engine prototype

• Autorzy: Puškár M. , Fabian M. , Tomko T.

Identyfikatory

DOI

10.29354/diag/78349

• Języki publikacji: EN

Abstrakty

EN

Evaluation of the measured data, which are obtained from testing of the HCCI engine prototype, is a complex process taking into consideration questions of the vibration diagnostics. The complexity of this procedure is caused due to a necessity to evaluate a large amount of the various data. One of the solution possibilities is application of a multidimensional statistical model within the evaluation process in order to obtain more accurate information about the actual operational condition concerning the analysed engine.

Słowa kluczowe

EN

diagnostics; engine prototype; statistical model

PL

diagnostyka; prototyp; silnik; model statystyczny

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2018
• Tom: Vol. 19, No. 1
• Strony: 19--24
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Puškár M.

• Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia

autor

Fabian M.

• Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia

autor

Tomko T.

• Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia

Bibliografia

• 1. Wackerly D, Mendenhall W, Scheaffer R. Mathematical Statistics with Applications. Seventh Edition, Belmont, USA. 2008.
• 2. Puškár M. Measuring method for feedback provision during development of fuel map in hexadecimal format for high-speed racing engines. Measurement 2014;50(1): 203-213.
• 3. Puškár M, Bigoš P. Method for accurate measurements of detonations in motorbike high speed racing engine. Measurement, 2012; 45(3): 529-534. http://dx.doi.org/10.1016/j.measurement.2011.10.014
• 4. Puškár M, Bigoš P, Puškárová P. Accurate measurements of output characteristics and detonations of motorbike high-speed racing engine and their optimization at actual atmospheric conditions and combusted mixture composition. Measurement, 2012; 45(5):1067-1076.
• 5. Puškár M, Bigoš P. Measuring of acoustic wave influences generated at various configurations of racing engine inlet and exhaust system on brake mean effective pressure. Measurement, 2013; 46(9): 3389- 3400.
• 6. Czech P. Application of probabilistic neural network and vibration signals for gasket under diesel engine head damage. Scientific Journal of Silesian University of Technology. Series Transport, 2013; 78: 39-45.
• 7. Toman R, Polóni M, Chríbik A. Preliminary study on combustion and overall parameters of syngas fuel mixtures for spark ignition combustion engine. Acta Polytechnica, 2017;57(1):38-48. http://dx.doi.org/10.14311/AP.2017.57.0038
• 8. Chríbik A, Polóni M, Lach J, Ragan B. The effect of adding hydrogen on the performance and the cyclic variability of a spark ignition engine powered by natural gas. In Acta Polytechnica, 2014; 54(1): 10-14.
• 9. Wierzbicki S. Diagnosing microprocessor controlled systems. Teka Komisji Motoryzacji i Energetyki Rolnictwa, 2006; VI:183-188.
• 10. Czech P. Diagnosis of Industrial Gearboxes Condition By Vibration and Time-Frequency, ScaleFrequency, Frequency-Frequency Analysis. Metalurgija, 2012; 51(4): 521-524.
• 11. Magdolen L, Masaryk M. Flywheel storage energy, Conference Gepeszet 2012, Budapest, Hungary, Conference proceedings, Budapest University of Technology and Economy BME Budapest, 2012.
• 12. Komorska I. Modeling of vibration signal for reciprocating engine diagnostics. Diagnostyka, 2009; 2(50):23-26.
• 13. Niziński S, Wierzbicki S. Zintegrowany system informatyczny sterowania pojazdów. Diagnostyka, 2004; 30:47-52.
• 14. Czech P, et al. Application of the discrete wavelet transform and probabilistic neural networks in IC engine fault diagnostics. JVE, Journal of Vibroengineering, 2014; 16(4):1619-1639.
• 15. Blištan P, et al. Renewable energy sources and risk management, in: SGEM 2012: 12th International Multidisciplinary Scientific GeoConference: conference proceedings: Volume 4. Albena, Bulgaria - Sofia: STEF92 Technology Ltd., 2012: 587-594.
• 16. Czech P. Identification of leakages in the inlet system of an internal combustion engine with the use of Wigner-Ville transform and rbf neural networks. 12th International Conference on Transport Systems Telematics Location: Katowice Ustron, Poland. 2012. Edited by J. Mikulski. Telematics in the Transport Environment. Book Series: Communications in Computer and Information Science, 2012; 329: 414-422.
• 17. Kopilčáková L, Pauliková A: Technický metabolizmus v rámci orientovaného konštruovania. In: Manažérstvo životného prostredia. 8. konferencia so zahraničnou účasťou (recenzovaný zborník referátov). Bojnice, 2008:55-57.
• 18. Puškár M, Brestovič T, Jasminská N. Numerical simulation and experimental analysis of acoustic wave influences on brake mean effective pressure in thrust-ejector inlet pipe of combustion engine. In: International Journal of Vehicle Design, 2015; 67(1): 63-76. http://dx.doi.org/10.1504/IJVD.2015.066479.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).