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Faults Detection Method Unrelated to Signal to Noise Ratio in a Hub Bearing

신호대 잡음비에 무관한 허브 베어링 결함 검출 방법

  • 최영철 (한국과학기술원 기계공학과) ;
  • 김양한 (한국과학기술원 기계공학과) ;
  • 고을석 (현대 자동차 연구소 시험 1팀) ;
  • 박춘수 (한국과학기술원 대학원 기계공학과)
  • Published : 2004.12.01

Abstract

Hub bearings not only sustain the body of a cat, but permit wheels to rotate freely. Excessive radial or axial load and many other reasons can cause defects to be created and grown in each component. Therefore, nitration and noise from unwanted defects in outer-race, inner-race or ball elements of a Hub bearing are what we want to detect as early as possible. How early we can detect the faults has to do with how the detection algorithm finds the fault information from measured signal. Fortunately, the bearing signal has Periodic impulse train. This information allows us to find the faults regardless how much noise contaminates the signal. This paper shows the basic signal processing idea and experimental results that demonstrate how good the method is.

Keywords

References

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