Frequency analysis based Tire Pressure Monitoring

Author

Marton, Zoltan ; Fodor, Denes ; Enisz, Krisztian ; Nagy, Klaudia

Author_Institution

Dept. of Automotive Mechatron., Univ. of Pannonia, Veszprem, Hungary

fYear

2014

Firstpage

1

Lastpage

5

Abstract

The tire pressure has significant influence on the safety and the energy/fuel consumptions of the vehicles. Therefore the Tire Pressure Monitoring Systems and the related methods are one of the most evolving areas. The aim of the research is to analyze how can be increased the efficiency of the frequency analyzing based tire-pressure monitoring systems with the application of distinct signal processing methods. Based on the literature survey various techniques were selected to deeper examination such as Fast Fourier (FFT), Fast Cosine (FCT), Fast Cohen-Daubechies-Feauveau (CDF) 9/7 Wavelet and the Fast Haar Transforms; and a Wavelet and a Haar Transform based method have been introduced to estimate efficiently the eigenfrequency.

Keywords

Haar transforms; automobiles; eigenvalues and eigenfunctions; energy consumption; fast Fourier transforms; fuel economy; mechanical engineering computing; road safety; signal processing; tyres; wavelet transforms; FCT; FFT; distinct signal processing methods; eigenfrequency estimation; energy consumptions; fast CDF 9/7 wavelet transforms; fast Cohen-Daubechies-Feauveau wavelet transforms; fast Fourier transforms; fast Haar transforms; fast cosine transforms; frequency analysis; fuel consumptions; safety; tire pressure monitoring systems; Frequency-domain analysis; Monitoring; Tire pressure; Wavelet transforms; Wheels; Haar Transform; Indirect tire pressure monitoring systems; Wavelet Transform; frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Vehicle Conference (IEVC), 2014 IEEE International

Type

conf

DOI

10.1109/IEVC.2014.7056187

Filename

7056187