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Analysis and comparison of vibration signals from internal combustion engine acquired using piezoelectric and MEMS accelerometers

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Języki publikacji
EN
Abstrakty
EN
Condition monitoring of vehicles with internal combustion engine is of immense importance due to high number of vehicles with such engines and their importance to transport and economy. As many persons use a vehicle which is old and inexpensive, a condition monitoring system designed for such vehicles cannot be expensive. Unfortunately, condition monitoring of engines is usually based on the use of vibration signals, which are acquired by accelerometers. Piezoelectric accelerometers are the most commonly used for this purpose, and such accelerometers are not cheap. However, an alternative exists in the form of microelectromechanical systems (MEMS) accelerometers, which are much cheaper, but have narrower frequency characteristics. This paper describes preliminary results of a research on feasibility of use of MEMS accelerometers for condition monitoring and failure detection in internal combustion engines.
Rocznik
Strony
1--8
Opis fizyczny
Bibliogr. 8 poz., fot. kolor., wykr.
Twórcy
  • Institute of Automatic Control, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland, dariusz.bismor@polsl.pl
Bibliografia
  • 1. M. S. Kan, A. C. C. Tan, J. Mathew, A review on prognostic techniques for nonstationary and non-linear rotating systems, Mechanical Systems and Signal Processing, 62-63 (2015) 1 - 20.
  • 2. S. Delvecchio, P. Bonfiglio, F. Pompoli, Vibro-acoustic condition monitoring of internal combustion engines: A critical review of existing techniques, Mechanical Systems and Signal Processing, 99 (2018) 661 - 683.
  • 3. I. Komorska, A vibroacoustic diagnostic system as an element improving road transport safety, International Journal of Occupational Safety and Ergonomics, 19 (2013) 3 - 17.
  • 4. G. W. Elko, F. Pardo, D. López, D. Bishop, P. Gammel, Capacitive MEMS microphones, Bell Labs Technical Journal, 10 (2005) 187 - 198.
  • 5. A. Frank, Modul do rejestracji sygnalów w samochodach i przesylania ich do stacji bazowej, Master's thesis, Silesian University of Technology, Gliwice, 2018.
  • 6. S. Haykin, Adaptive Filter Theory, Fourth Edition, Prentice Hall, New York, 2002.
  • 7. L. Cohen, Time-frequency distributions - a review, Proceedings of the IEEE, 77 (1989) 941 - 981.
  • 8. R. B. Randall, J. Antoni, Rolling element bearing diagnostics—a tutorial, Mechanical Systems and Signal Processing, 25 (2011) 485 - 520.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c5f51975-66c9-430a-9d63-e3d01974346a
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