Abstract
This paper proposed the autoregressive model to forecast pressure and temperature inner aumobile tire for promoting the reliability of tire burst forewarning. The appropriate order for autoregressive model was optimized based on MATLAB. This paper also discussed the relationship between pressure and temperature. MATLAB stimulations show that AR(1) model can forecast the pressure and temperature quickly with a high accuracy, and the pressure and temperature inner tire has a linear relationship which seems fits the ideal gas law.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Zheng, R., Li, M., Wu, B. (2012). Autoregressive Model for Automobile Tire Pressure and Temperature Based on MATLAB. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_81
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DOI: https://doi.org/10.1007/978-3-642-30126-1_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30125-4
Online ISBN: 978-3-642-30126-1
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