Application of multidimensional statistical model for evaluation of measured data obtained from testing of the HCCI engine prototype
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Sjf TU Kosice
 
 
Submission date: 2017-07-07
 
 
Final revision date: 2017-08-03
 
 
Acceptance date: 2017-10-06
 
 
Online publication date: 2017-12-18
 
 
Publication date: 2018-03-12
 
 
Corresponding author
Michal Puskar   

Sjf TU Kosice, Letna 9, 04101 Kosice, Slovak Republic
 
 
Diagnostyka 2018;19(1):19-24
 
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ABSTRACT
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.
REFERENCES (18)
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. DOI: 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. DOI: 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, Scale-Frequency, 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. DOI: 10.1504/IJVD.2015.066479.
 
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