• Title/Summary/Keyword: Periodicity detection using auto-correlation

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The Damage Classification by Periodicity Detection of Ultrasonic Wave Signal to Occur at the Tire (타이어에서 발생하는 초음파 신호의 주기성 검출에 의한 손상 분별)

  • Oh, Young-Dal;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.107-111
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    • 2010
  • The damage of tire by damage material classification method is researched as used ultrasonic wave signal to occur at a tire during vehicle driving. Auto-correlation function after having passed through an envelope detecting preprocess is used for detecting periodicity because of occurring periodic ultrasonic waves signal with tire revolution. One revolution cycle time of a damaged tire and period that calculated auto-correlation function appeared equally in experiment. The result that can classification whether or not there was a tire damage is established.

A Study of the Vehicle Tire Damage Detection using Split Spectrum Processing (스플릿 스펙트럼을 이용한 자동차 타이어 손상 검출에 관한 연구)

  • Jeon, Jae-Seok;Kim, Ho-Yeon;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.113-118
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    • 2010
  • The split spectrum processing algorithm of an ultrasonic wave on the tire was studied for the damage detection of a driving vehicle's tire. The processing results of normal and damaged tire was compared using the split spectrum algorithm to estimate the maximum value. The result that used Auto-correlation in case of damaged tire, the damage feature point is detected during 81ms intervals at a speed of 100km/h and during 162ms periodicity at a speed of 50km/h. This results was meaned the possibility for the tire's damage decision by damaging material with using periodicity feature point of tire damage according to vehicle speed.