Journal of Advanced Marine Engineering and Technology

The Korean Society of Marine Engineering (한국마린엔지니어링학회)
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A Study on the Condition Monitoring for Rolling Element Bearing using Higher Order Statistical Analysis of Sound-Vibration Signal

음향-진동 신호의 고차 통계해석을 이용한 회전요소 베어링의 상황감시에 관한 연구

  • 이해철 (명지대학교 대학원 기계공학과) ;
  • 이준서 (충청대학 메카트로닉스학부) ;
  • 차경옥 (명지대학교 기계공학과)
  • Published : 2000.07.01
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Abstract

This paper present study on the application of sound pressure and vibration signals to detect the presence of defects in a rolling element bearing using a statistical analysis method. The well established statistical parameters such as the crest factor and the distribution of moments including kurtosis and skew are utilized in this study. In addition, other statistical parameters derived from the beta distribution function are also used. A comparison study on the performance of the different types of parameter used is also performed. The statistical analysis is used because of its simplicity and quick computation. Under ideal conditions, the statistical method can be used to identify the different types of defect present in the bearing. In addition, the results also reveal that there is no significant advantages in using the beta function parameters when compared to using kurtosis and the crest factor for detecting and identifying defects in rolling element bearings from both sound and vibration signals.

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References

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