Identification of Static Unbalance Wheel of Passenger Car Carried out on a Road

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Abstract:

This paper presents a method of identification of non-homogeneity or static unbalance of the structure of a car wheel based on a simple road test. In particular a method the detection of single wheel unbalance is proposed which applies an acceleration sensor fixed on windscreen. It measures accelerations cause by wheel unbalance among other parameters. The location of the sensor is convenient for handling an autonomous device used for diagnostic purposes. Unfortunately, its mounting point is located away from wheels. Moreover, the unbalance forces created by wheels spin are dumped by suspension elements as well as the chassis itself. It indicates that unbalance acceleration will be weak in comparison to other signals coming from engine vibrations, road roughness and environmental effects. Therefore, the static unbalance detection in the standard way is considered problematic and difficult. The goal of the undertaken research is to select appropriate transformations and procedures in order to determine wheel unbalance in these conditions. In this investigation regular and short time Fourier transform were used as well as wavelet transform. It was found that the use of Fourier transforms is appropriate for static condition (constant velocity) but the results proves that the wavelet transform is more suitable for diagnostic purposes because of its ability of producing clearer output even if car is in the state of acceleration or deceleration. Moreover it was proved that in the acceleration spectrum of acceleration measured on the windscreen a significant peak can be found when car runs with an unbalanced wheel. Moreover its frequency depends on wheel rotational frequency. For that reason the diagnostic of single wheel unbalance can be made by applying this method.

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Periodical:

Solid State Phenomena (Volume 214)

Pages:

48-57

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Online since:

February 2014

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[1] R. Andrzejewski, J. Awrejcewicz, Nonlinear dynamics of a wheeled vehicle, Springer, 2005.

Google Scholar

[2] W. Batko, M. Ziółko, Application of wavelets theory in technical diagnostics (in Polish), Monograph Nr 7, Krakow, 2002.

Google Scholar

[3] S. Brol, J. Mamala, Application of Spectral and Wavelet Analysis in Power Train System Diagnostic, SAE Technical Paper 2010-01-0250, 2010.

DOI: 10.4271/2010-01-0250

Google Scholar

[4] Cz. Cempel, Mechanical vibrations- introduction (in Polish), Poznan University of Technology Publishing, Poznan 1984.

Google Scholar

[5] L. Jianbo, F. Dimitar, J. Leonard, Real-time Tire Unbalance Detection Using ABS Wheel Speed Sensors, SAE, Paper 2011-01-0981.

Google Scholar

[6] S. Kwang-Keun, B. Hong, Real-Time Estimation of Wheel Unbalances for Chassis Prognosis, SAE Paper, 2010-01-0245.

Google Scholar

[7] J. Mamala, S. Brol, J. Jantos, Estimation of powertrain charateristics on basis of car's acceleration measurement(in Polish), publishing house Opole University of Technology, studies and monographs z.235, Opole, 2008.

Google Scholar

[8] M. Mitschke, Vehicle dynamics, Vol. 2 Vibrations (in Polish), WKiŁ, 1989.

Google Scholar

[9] J. Reimpell, H. Stoll, J.W. Betlzer, The Automotive Chassis: Enginnering Principles, SAE International and Edward Arnold Publishing, 2001.

Google Scholar

[10] H.B. Pacejka, Tyre and Vehicle Dynamic, Butterworth- Heinemann an imprint of Elsevier, Oxford 2006.

Google Scholar

[11] L. Prochowski, Movement mechanics, WKiŁ, Warsaw, 2005.

Google Scholar

[12] T. Zieliński, Digital signals processing from theory to application (in Polish), WKiŁ, Warsaw, 2007.

Google Scholar