Application of Adaptive Line Enhancer for Detection of Ball Bearing Defects

볼 베어링의 결함검출을 위한 Adaptive Line Enhancer의 적용

  • 김영태 (한국표준과학연구원 환경안전계측센터) ;
  • 최만용 (한국표준과학연구원 환경안전계측센터) ;
  • 김기복 (한국표준과학연구원 환경안전계측센터) ;
  • 박해원 (한국표준과학연구원 환경안전계측센터) ;
  • 박정학 (한국표준과학연구원 환경안전계측센터) ;
  • 김종억 (FAG Bearing Korea㈜ 연구소) ;
  • 류준 (충남대학교 전자공학과)
  • Published : 2005.04.01

Abstract

The early detection of the bearing defects in rotating machinery is very important since the critical failure of bearing causes a machinery shutdown. However it is not easy to detect the vibration signal caused by the initial defects of bearing because of the high level of random noise. A signal processing technique, called the adaptive line enhancer(ALE) as one of adaptive filter, is used in this study. This technique is to eliminate random noise with little a prior knowledge of the noise and signal characteristics. Also we propose the optimal methods fir selecting the three main ALE parameters such as correlation length filter order and adaptation constant. Vibration signals f3r three abnormal bearings, including inner and outer raceways and ball defects, were acquired by Anderon(angular derivative of radius on) meter. The experimental results showed that ALE is very useful f3r detecting the bearing defective signals masked by random noise.

Keywords

References

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