Possibilities of Using Vibration Signals for the Identification of Pressure Level in Tires with Application of Neural Networks Classification

Abstract:

The article provides a discussion on the studies comprising active experiments conducted on passenger car and analytical experiment on application of neural networks in the identification of pressure level in tires of a vehicle based on vibration signals. The purpose of research was to analyze the possibilities of monitoring of pressure in tires during the diagnostics tests of shock absorbers. The paper presented on last International Congress on Technical Diagnostics in 2008 examined the influence of changes of pressure in tires on the results of diagnostics test of shock absorbers. Those influences were observed in typical test methods used in vehicles service stations and even in new vibration methods. The article presents some results of research on neural network classification method of pressure in tires level. Tested solutions can be used as the preliminary module of diagnostics system during the shock absorber test. The signal processing methods were based on application of time, frequency and time-frequency transformations which enables obtaining the signals information carried in one or two domains simultaneously, namely those of time and frequency.

• Periodical: Key Engineering Materials (Volume 588)
• Pages: 223-231
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.588.223
• Online since: October 2013
• Authors: Rafał Burdzik, Grzegorz Peruń, Jan Warczek
• Keywords: Artificial Intelligence (AI), Automotive Research, Identification, System Modeling

References

[1] R. Burdzik, Ł. Konieczny, Diagnosing of shock-absorbers of car vehicles at changeable pressure in tires, 4th International Congress on Technical Diagnostics, Olsztyn 2008, (in Polish).

[2] R. Burdzik, Ł. Konieczny, B. Śleziak, Wpływ zmian ciśnienia w ogumieniu na wyniki badań amortyzatorów samochodu osobowego, XXXV Ogólnopolskie Sympozjum Diagnostyka Maszyn, Węgierska Górka 2008, (in Polish).

[3] R. Burdzik, J. Warczek, Wpływ ciśnienia w ogumieniu i obciążenia pojazdu na ocenę skuteczności układu hamulcowego w warunkach stacji kontroli pojazdów, Zeszyty Naukowe Pol. Śl. S. Transport z. 66 15-24 (2010) (in Polish).

[4] R. Burdzik, Z. Stanik, J. Warczek, Method of assessing the impact of material properties on the propagation of vibrations excited with a single force impulse, Archives of Materials and Metallurgy 57(2) (2012) 409—416.

DOI: 10.2478/v10172-012-0040-5

[5] W. Batko, W. Cioch, E. Jamro, Monitoring system for grinding machine of turbine-engine blades, Journal of Polish CIMAC 2(2) (2007) 13–18.

[6] R. Burdzik, Ł. Konieczny, Diagnosing of shock-absorbers of car vehicles at changeable pressure in tires, Diagnostyka 3(51) (2009) 27-32.

[7] R. Burdzik, Monitoring system of vibration propagation in vehicles and method of analysing vibration modes. J. Mikulski (Ed.): TST 2012, CCIS 329, Springer, Heidelberg, 2012, pp.406-413.

DOI: 10.1007/978-3-642-34050-5_46

[8] R. Burdzik, Ł. Konieczny, B. Łazarz, Influence of damping characteristics changes on vehicles vibration research, 19th International Congress on Sound and Vibration, Vilnius Lithuania, 2012.

[9] R. Burdzik, Ł. Konieczny, B. Łazarz, The influence of changing vehicle tire stiffness on phase angle, 19th International Congress on Sound and Vibration, Vilnius Lithuania, 2012.

[10] E. Jamro, M. Wielgosz, S. Bieniasz, W. Cioch, FPGA – ARM heterogeneous system for high speed signal analysis, Solid State Phenomena 180 (2012) 207—213.

DOI: 10.4028/www.scientific.net/ssp.180.207

[11] M. Jasinski, S. Radkowski, Use of the higher spectra in the low-amplitude fatigue testing, Mechanical Systems And Signal Processing 25(2) (2011) 704-716.

DOI: 10.1016/j.ymssp.2010.06.001

[12] W. J. Staszewski, Ruztamreen bin Jenal, A. Klepka, M. Szwedo, T. Uhl, A Review of Laser Doppler Vibrometry for Structural Health Monitoring Applications, in T. Uhl (Eds.), Structural Health Monitoring II, Key Engineering Materials 518 1-15 (2012).

DOI: 10.4028/www.scientific.net/kem.518.1

[13] R. Tadeusiewicz, Sieci neuronowe, Akademicka Oficyna Wydawnicza, Warszawa 1993 (in Polish).

[14] S. Osowski, Sieci neuronowe w ujęciu algorytmicznym, WNT, Warszawa 1996 (in Polish).

[15] P. Czech, Identification of leakages in the inlet system of an internal combustion engine with the use of Wigner-Ville transform and RBF neural networks, J. Mikulski (Ed.): TST 2012, CCIS 329, Springer, Heidelberg, 2012, pp.414-422.

DOI: 10.1007/978-3-642-34050-5_47

[16] B. Irzyniec, Automatyczna klasyfikacja ciśnienia w ogumieniu podczas badań diagnostycznych amortyzatorów pojazdów samochodowych, praca inżynierska napisana pod kierunkiem dr. inż. R. Burdzika, Politechnika Śląska, Wydział Transportu, Katowice 2009 (in Polish).

[17] J. Tuma, Gearbox noise and vibration prediction and control, International Journal of Acoustics and Vibration vol. 14 issue 2 (2009) 99-108.

DOI: 10.20855/ijav.2009.14.2242

[18] R. Farana, R. Wagnerova, Sliding mode controls of complex control systems, Mine Planning and Equipment Selection. RK. Singhal, BP. Singh (Ed.) 2001 11-17.