Powiadomienia systemowe
- Sesja wygasła!
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Although noise and vibration measurements are widespread in the machine diagnostics, they are not usedin the diagnostics of the powertrain of motor vehicles. Our research aims to investigate the possibilities, advan-tages, and drawbacks of using noise and vibration diagnostics performed for motor vehicles. In this paper, weattempt to use vibroacoustic signals from a motor vehicle for diagnostic purposes. Ordinary audible malfunc-tions, for example, misfiring in a passenger car, were artificially created. The differences between the normaland faulty operating conditions were examined to identify evidence of failure in the vibration signal. Primarily,evaluation through Fourier transformation was performed to provide a visual correlation between the fault andthe vibration behavior of the car. Detailed conclusions from the measurements and future research plans arediscussed.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
37--45
Opis fizyczny
Bibliogr. 10 poz., rys., tab., wykr.
Twórcy
autor
- Institute of Machine and Product Design, University of MiskolcMiskolc-Egyetemváros, Hungary
autor
- Institute of Machine and Product Design, University of MiskolcMiskolc-Egyetemváros, Hungary
Bibliografia
- 1.Babu Devasenapati S., Sugumaran V., Ramachandran K.I. (2010), Misfire identification in a four-stroke four-cylinder petrol engine using decision tree, Expert Systems with Applications, 37(3): 2150-2160, https://doi.org/10.1016/j.eswa.2009.07.061.
- 2. Brecher C., Gorgels C., Carl C., Brumm M. (2011), Benefit of psychoacoustic analysing methods for gear noise investigation, Gear Technology, 28(5): 49-55.
- 3. Cavina N., Corti E., Minelli G., Serra G. (2002), Misfire detection based on engine speed time-frequency analysis, SAE Transactions, 111: 1011-1018, http://www.jstor.org/stable/44743127.
- 4. Delvecchio S., Bonfiglio P., Pompoli F. (2018), Vibro-acoustic condition monitoring of internal combustion engines: A critical review of existing techniques, Mechanical Systems and Signal Processing, 99: 661-683, https://doi.org/10.1016/j.ymssp.2017.06.033.
- 5. Firmino J.L., Neto J.M., Oliveira A.G., Silva J.C., Mischina K.V., Rodrigues M.C. (2012), Misfire detection of an internal combustion engine based on vibration and acoustic analysis, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 43: 336, https://doi.org/10.1007/s40430-021-03052-y.
- 6. Szabó J.Z., Dömötör F. (2022), Comparative testing of vibrations in vehicles driven by electric motor and internal combustion engine (ICE), [in:] Vehicle and Automotive Engineering 4, Jármai K., Cservenák Á. [Eds.], pp. 871-879, https://doi.org/10.1007/978-3-031-15211-5 72.
- 7. Turney S. (2022), Skewness. Definition, examples & formula, https://www.scribbr.com/statistics/skewness/ (access: 05.01.2024).
- 8. Wojnar G., Czech P., Stanik Z. (2011), Use of amplitude estimates and nondimensional discriminants of vibroacoustic signal for detection of operational wear of rolling bearings, Scientific Journal of Silesian University of Technology. Series Transport, 72: 109-114.
- 9. Wojnar G., Madej H. (2009), Averaged wavelet power spectrum as a method of piston - Skirt clearance detection, Diagnostyka, 2(50): 93-98.
- 10. Wojnar G., Stanik Z. (2010), Influence of wear of bearings carriageable wheels on acoustics pressure, Scientific Journal of Silesian University of Technology. Series Transport, 66: 117-122.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-20d4b6b9-a162-4053-b81f-b1b39095b393
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.