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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-b980c6c7-74da-47d7-85a0-ac759c793565

Czasopismo

Combustion Engines

Tytuł artykułu

Estimation of fuel spraying from diesel engine injector using multiresolution wavelet analysis of vibroacoustic signals

Autorzy Boguś, P.  Dedo, M.  Grzeszczyk, R.  Wrona, A.  Markowski, J.  Merkisz, J. 
Treść / Zawartość
Warianty tytułu
Konferencja International Congress on Combustion Engines (5 ; 24-26.06.2013 ; Bielsko-Biala, Poland)
Języki publikacji EN
Abstrakty
EN The paper presents the application of wavelet multiresolution analysis to injection diagnostics using vibro-acoustic signals. The vibroacoustic signals were acquired in a research bench for testing the Diesel engine injectors. This measurement of vibroacoustic signal is carried out using mems accelerometer mounted to a reactive cylinder with real injector placed centrally inside it. Estimation of fuel spraying parameters was done by comparison of recorded vibroacoustic signals of correctly working injector and injector with simulated malfunction resulting in incorrect injector stream. For each original signal the 6 multiresolution approximation components were taken into account and for each signal and all components some chosen parameters were calculated. Then the suitable simple classifier was designed to distinguish between correctly and incorrectly working injector. The research results presented in the paper proved that some signal parameters obtained for high frequency multiresolution components can be used as diagnostic parameters for fault detection in injector testing bench applications.
Słowa kluczowe
PL diagnostyka wtryskiwaczy   analiza wielorozdzielcza   sygnały wibroakustyczne  
EN injector diagnostic   multiresolution analysis   vibroacoustic signals  
Wydawca Polskie Towarzystwo Naukowe Silników Spalinowych
Czasopismo Combustion Engines
Rocznik 2015
Tom R. 54, nr 3
Strony 264--270
Opis fizyczny Bibliogr. 12 poz., pełen tekst na CD
Twórcy
autor Boguś, P.
  • Physics and Biophysics of Medical University of Gdańsk
  • Rail Vehicle Institute TABOR in Poznań
autor Dedo, M.
  • Automex sp. z o.o., Gdańsk
autor Grzeszczyk, R.
  • Automex sp. z o.o., Gdańsk
autor Wrona, A.
  • Automex sp. z o.o., Gdańsk
autor Markowski, J.
  • Faculty of Working Machines and Transportation at Poznan University of Technology
autor Merkisz, J.
  • Faculty of Working Machines and Transportation at Poznan University of Technology
Bibliografia
[1] Al-Badour F., Sunar M., Cheded L.: Vibration analysis of rotating machinery using time–frequency analysis and wavelet techniques. Mechanical Systems and Signal Processing, vol. 25, pp. 2083–2101, 2011.
[2] Boguś P., Merkisz J: Misfire Detection of locomotive diesel engine by nonlinear analysis. Mechanical Systems and Signal Processing, vol. 19, pp. 881-899, 2005.
[3] P. Boguś, J. Merkisz. Application of wavelet analysis in combustion engine diagnosis. Combustion Engines, 2013, 154(3), pp. 226-231.
[4] K. Chui K.: Wavelets: A Mathematical Tool for Signal Processing. SIAM Society for Industrial and Applied Mathematics, 1997.
[5] Goswami J.C., Chan A. K.: Fundamentals of Wavelets. Theory, Algorithms, and Applications. John Wiley & Sons, Inc., 2010.
[6] R. Grzeszczyk, A. Hojka, J. Merkisz, M. Bajerlain, P. Fuć, P. Lijewski, P. Boguś.
Estimation of In Use Powertrain Parameters of Fully Electric Vehicle Using Advanced ARM Microcontrollers. In: G. Meyer (ed.), Advanced Microsystems for Automotive Applications 2012. Smart Systems for Safe, Sustainable and Networked Vehicles, Springer, 2012, pp. 157–164.
[7] Markowski J., Estimation of fuel spraying from Diesel engine injectors with using vibroacoustic processes. Poznań University of Technology, Poland, 2011 (in Polish).
[8] Merkisz J., Boguś P., Grzeszczyk R., Overview of engine misfire detection methods used in on board diagnostics. Combustion Engines, Vol 8, No 1-2, 2001.
[9] Mollenhauer K., Tschoeke H., Handbook of Diesel Engine. Springer-Verlag Berlin Heidel-berg 2010.
[10] Peng Z.K., Chu F.L.: Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography. Mechanical Systems and Signal Processing, vol. 18, pp. 199–221, 2004.
[11] Tsea P.W., Yangb W., Tama H.Y.: Machine fault diagnosis through an effective exact wavelet analysis. Journal of Sound and Vibration, vol. 277, pp. 1005–1024, 2004.
[12] G. T. Zheng, A. Y. T. Leung. Internal Combustion Engine Noise Analysis With Time-Frequency Distribution. Journal of Engineering for Gas Turbines and Power, JULY 2002, Vol. 124, pp. 645-649.
Kolekcja BazTech
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