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A Vibroacoustic Diagnostic System as an Element Improving Road Transport Safety

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Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Mechanical defects of a vehicle driving system can be dangerous on the road. Diagnostic systems, which monitor operations of electric and electronic elements and devices of vehicles, are continuously developed and improved, while defects of mechanical systems are still not managed properly. This article proposes supplementing existing on-board diagnostics with a system of diagnosing selected defects to minimize their impact. It presents a method of diagnosing mechanical defects of the engine, gearbox and other elements of the driving system on the basis of a model of the vibration signal obtained adaptively. This method is suitable for engine valves, engine head gasket, main gearbox, joints, etc.
Rocznik
Strony
371--385
Opis fizyczny
Bibliogr. 22 poz., rys., wykr.
Twórcy
autor
  • Faculty of Mechanical Engineering, University of Technology and Humanities in Radom, Poland
Bibliografia
  • 1.Dąbrowski Z, Madej H. Masking mechanical damages in the modern control systems of combustion engines. Journal of KONES Powertrain and Transport. 2006;13(3):53-60. In Polish, with an abstract in English. Retrieved June 19, 2013, from: http://ilot.edu.pl/KONES/2006/03/6.pdf.
  • 2.Madej H. Diagnozowanie uszkodzeń mechanicznych w silnikach spalinowych maskowanych przez elektroniczne urządzenia sterujące [Diagnosing mechanical defects in combustion engines masked with electronic control devices]. Radom, Poland: ITE-PIB; 2009.
  • 3.Dąbrowski Z, Zawisza M. Diagnostics of mechanical defects not recognised by the OBD system in self-ignition engines. Combustion Engines. 2011;(3).
  • 4.Antoni J, El Badaoui M, Guillet F, Daniere J. Some new diagnostic parameters for reciprocating engines (SAE Technical Paper 1714). Warrendale, PA, USA: SAE International; 1999.
  • 5.Antory D. Application of a data-driven monitoring technique to diagnose air leaks in an automotive diesel engine: a case study. Mechanical Systems and Signal Processing. 2007;21(2):795-808.
  • 6.Lee HW, Park SH, Park MW, Park NG. Vibrational characteristics of automotive transmission. International Journal of Automotive Technology. 2009;10(4):459-67.
  • 7.Kiciński J. Model based diagnostics today and tomorrow. International Journal of COMADEM. 2005;8(2):17-22.
  • 8.Komorska I. The diagnostic model proposition of the engine vibration signal. Journal of KONES Powertrain and Transport. 2008;15(2):191-7. Retrieved June 19, 2013, from: http://yadda.icm.edu.pl/baztech/element/bwmetal.element.baztech-article_BUJ8-0002-0022?q=bwmetal.element.baztech-volume-1231-4005-journal_of_kones-2008-vol_15_no_2;24&qt=CHILDREN-STATELESS.
  • 9.Komorska I. Modeling of vibration signal for reciprocating engine diagnostics. Diagnostyka. 2009;(2):23-6.
  • 10.Cheli F, Pedrinelli M, Zorzutti A. Integrated vehicle and driveline modeling (SAE Technical Paper 1583). Warrendale, PA, USA: SAE International; 2007.
  • 11.Dąbrowski Z, Komorska I. Identification of engine vibroacoustic model for diagnostics of mechanical defects. In: Proceedings of PACAM XII. 12th Pan-American Congress of Applied Mechanics. 2012. Retrieved June 19, 2013, from: http://www.aamech.org/PACAM12/Documents/170.pdf.
  • 12.Komorska I, Górnicka D. Adaptation of engine vibration characteristics for diagnostics of mechanical defects. Combustion Engines. 2011;(3).
  • 13.Komorska I. Vibroacoustic diagnostic model of the vehicle drive system. Radom, Poland: ITE-PIB; 2011.
  • 14.Ljung L. System identification: theory for the user. Englewood Cliffs, NJ, USA: Prentice-Hall; 1987.
  • 15.Lin J, Qu L. Feature extraction based on morlet wavelet and its application for mechanical fault diagnosis. Journal of Sound and Vibration. 2000;234(1):135-48.
  • 16.Lin J, Zuo MJ. Gearbox fault diagnosis using adaptive wavelet filter. Mechanical Systems and Signal Processing. 2003;17(6):1259-69.
  • 17.Madej H, Łazarz B, Pieruń G. Application of the wavelet transform in SI engine valve faults diagnostis. Diagnostyka. 2008;(4):97-101.
  • 18.Madej H, Wojnar G, Łazarz B, Stanik Z. Fault diagnosis of internal combustion engine using wavelet analysis of vibration signals. Transactions of the Universities of Kosice. 2009;(3):91-4.
  • 19.Komorska I. Diagnostic-oriented vibroacoustic model of the reciprocating engine. Solid State Phenomena. 2012;180:214-21.
  • 20.Daubechies I. Ten lectures on wavelets. Philadelphia, PA, USA: Society for Industrial and Applied Mathematics (SIAM); 1992.
  • 21.Komorska I. Detection of the engine head gasket defects on the basis of vibration signal. Combustion Engines. 2011 ;(3).
  • 22.Komorska I. Utilising the resonance frequency of the engine vibration sensor in diagnostics of the exhaust valve leakage. Journal of KONES Powertrain and Transport. 2010;17(2):209-16. Retrieved June 19, 2013, from: http://ilot.edu.pl/kones/2010/2_2010/2010_komorska_utilising_the _reason.pdf.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-642d7b9a-4923-4d27-8e40-1be2b1acb7ab
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