Real time monitoring system for automotive tire set using an acoustic signal

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationVEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings
EditorsMarkus Helfert, Oleg Gusikhin
PublisherSciTePress
Pages168-173
Number of pages6
ISBN (Electronic)9789897581854
Publication statusPublished - 2016 Jan 1
Event2nd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2016 - Rome, Italy
Duration: 2016 Apr 232016 Apr 24

Publication series

NameVEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings

Other

Other2nd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2016
CountryItaly
CityRome
Period16-04-2316-04-24

Fingerprint

Tires
acoustics
Acoustics
monitoring
Monitoring
Signal processing
Shafts (machine components)
Adaptive filtering
Microphones
Feature extraction
Optical fibers
Railroad cars
Internet
recording
diagnostic
time

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Transportation
  • Control and Systems Engineering

Cite this

Chen, C. J., Chao, L-S., Li, T. H., Hsu, C. W., Chiu, S. K., Su, C. H., ... Su, F. Y. (2016). Real time monitoring system for automotive tire set using an acoustic signal. In M. Helfert, & O. Gusikhin (Eds.), VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings (pp. 168-173). (VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings). SciTePress.
Chen, C. J. ; Chao, Long-Sun ; Li, T. H. ; Hsu, C. W. ; Chiu, S. K. ; Su, C. H. ; Huang, L. H. ; Tai, S. Y.G. ; Chuang, Y. C. ; Gong, C. S. ; Su, C. W. ; Su, F. Y. / Real time monitoring system for automotive tire set using an acoustic signal. VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings. editor / Markus Helfert ; Oleg Gusikhin. SciTePress, 2016. pp. 168-173 (VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings).
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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.",
author = "Chen, {C. J.} and Long-Sun Chao and Li, {T. H.} and Hsu, {C. W.} and Chiu, {S. K.} and Su, {C. H.} and Huang, {L. H.} and Tai, {S. Y.G.} and Chuang, {Y. C.} and Gong, {C. S.} and Su, {C. W.} and Su, {F. Y.}",
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Chen, CJ, Chao, L-S, Li, TH, Hsu, CW, Chiu, SK, Su, CH, Huang, LH, Tai, SYG, Chuang, YC, Gong, CS, Su, CW & Su, FY 2016, Real time monitoring system for automotive tire set using an acoustic signal. in M Helfert & O Gusikhin (eds), VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings. VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings, SciTePress, pp. 168-173, 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2016, Rome, Italy, 16-04-23.

Real time monitoring system for automotive tire set using an acoustic signal. / Chen, C. J.; Chao, Long-Sun; Li, T. H.; Hsu, C. W.; Chiu, S. K.; Su, C. H.; Huang, L. H.; Tai, S. Y.G.; Chuang, Y. C.; Gong, C. S.; Su, C. W.; Su, F. Y.

VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings. ed. / Markus Helfert; Oleg Gusikhin. SciTePress, 2016. p. 168-173 (VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Su, C. H.

AU - Huang, L. H.

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AU - Gong, C. S.

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M3 - Conference contribution

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A2 - Helfert, Markus

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PB - SciTePress

ER -

Chen CJ, Chao L-S, Li TH, Hsu CW, Chiu SK, Su CH et al. Real time monitoring system for automotive tire set using an acoustic signal. In Helfert M, Gusikhin O, editors, VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings. SciTePress. 2016. p. 168-173. (VEHITS 2016 - 2nd International Conference on Vehicle Technology and Intelligent Transport Systems, Proceedings).