Real Time Monitoring System for Automotive Tire Set using an Acoustic Signal

C. J. Chen, L. S. Chao, C. J. Chen, L. S. Chao, T. H. Li, C. W. Hsu, S. K. Chiu, C. H. Su, L. H. Huang, S. Y. G. Tai, C. S. Gong, Y. C. Chuang, C. S. Gong, Y. C. Chuang, C. W. Su, F. Y. Su, C. W. Su, F. Y. Su

Abstract

In this research, we present a real time monitoring system for Automotive Tire Set (ATS) using an acoustic signal. Order tracking techniques applied in signal processing module by using the recursive Kalman adaptive filtering algorithm which can be used to exact the order amplitudes of global acoustic signals. The detective system combines a signal processing module and orders amplitude calculated of feature extraction. On the basis of acoustic signal extraction to distinguish between normal and abnormal types can be used to acquire high resolution amplitude of different orders. The diagnostic process is based on recording the drive shaft of tire speed. This system is implemented on the platform of National Instruments (NI) compact-RIO and c-series modules. Instantaneous shaft speed and acoustic signal are respectively detected by means of fiber optical and array microphone. Experimental results were carried out for a practical Mitsubishi Freeca Car to appear obviously the effectiveness of the proposed system in tracking the ATS orders with high recognition rate. An intelligent prediction integration system with internet (IPII) for ATS was proposed.

References

  1. He, Y., Xu, 2014. Developing Vehicular Data Cloud Services in the IoT Enviroment. IEEE Transactions on Industrial Informatics, vol. 10, No. 2, May.
  2. Haykin, 2002. Adaptive Filter Theorey, Prentice Hall. America, 4th edition.
  3. Wu, B., Su, H., 2009. An expert system for the diagnosis of faults in rotating machinery using adaptive ordertracking algorithm, Expert Systems with Applications, vol. 36.
Download


Paper Citation


in Harvard Style

Chen C., Chao L., Chen C., Chao L., Li T., Hsu C., Chiu S., Su C., Huang L., Tai S., Chuang Y., Gong C., Chuang Y., Gong C., Su F., Su C., Su C. and Su F. (2016). Real Time Monitoring System for Automotive Tire Set using an Acoustic Signal . In Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS, ISBN 978-989-758-185-4, pages 168-173. DOI: 10.5220/0005860801680173


in Bibtex Style

@conference{vehits16,
author={C. J. Chen and L. S. Chao and C. J. Chen and L. S. Chao and T. H. Li and C. W. Hsu and S. K. Chiu and C. H. Su and L. H. Huang and S. Y. G. Tai and Y. C. Chuang and C. S. Gong and Y. C. Chuang and C. S. Gong and F. Y. Su and C. W. Su and C. W. Su and F. Y. Su},
title={Real Time Monitoring System for Automotive Tire Set using an Acoustic Signal},
booktitle={Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,},
year={2016},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005860801680173},
isbn={978-989-758-185-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS,
TI - Real Time Monitoring System for Automotive Tire Set using an Acoustic Signal
SN - 978-989-758-185-4
AU - Chen C.
AU - Chao L.
AU - Chen C.
AU - Chao L.
AU - Li T.
AU - Hsu C.
AU - Chiu S.
AU - Su C.
AU - Huang L.
AU - Tai S.
AU - Chuang Y.
AU - Gong C.
AU - Chuang Y.
AU - Gong C.
AU - Su F.
AU - Su C.
AU - Su C.
AU - Su F.
PY - 2016
SP - 168
EP - 173
DO - 10.5220/0005860801680173