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Development of Inspection Methods for Bearing Faults with a Rapid Change of Rotation Speed and Optimization of Pass/Fail Criteria

회전 속도가 급격히 변화하는 베어링의 양부 검사 기법 개발 및 검사 기준 최적화

  • 양원석 (한남대학교 경영학과) ;
  • 이원표 (에스엠인스트루먼트 혁신팀) ;
  • 이종우 (현대모비스 부품품질관리팀)
  • Received : 2016.11.28
  • Accepted : 2017.02.28
  • Published : 2017.05.01

Abstract

We develop an inspection method for bearing faults with a rapid change in the rotation speed and present indexes for the pass/fail inspection. At the end of line, impulse noises generated by the operation of machines and conveyors may distort the inspection results. In this paper, we present robust inspection indexes for bearing faults under impulse noises, by taking into account fault signals having pulse train. Using logistic regression, we optimize the pass/fail criterion for each index and evaluate the performance of the inspection indexes based on the total error rate.

Keywords

References

  1. J. K. Kim, K. H. Lee and Y. H. Kim, The 2007-2011 White Paper on Korean Automobile Quality, Marketing Insight, pp.42-50, Seoul, 2011.
  2. C. -S. Park, Y. -C. Choi and Y.-H. Kim, "Micro Faults of a Hub Bearing Equipped with an Automobile Using Minimum Variance Cepstrum," KSAE Fall Conference Proceedings, pp.963-970, 2005.
  3. N. Tandon and A. Choudhyry, "A Review of Vibration and Acoustic Measurement Methods for the Detection of Defects in Rolling Element Bearings," Tribology International, Vol.32, No.8, pp.469-480, 1999. https://doi.org/10.1016/S0301-679X(99)00077-8
  4. P. Shakya, A. K. Darpe and M. S. Kulkarni, "Vibration-based Fault Diagnosis in Rolling Element Bearing: Ranking of Various Time, Frequency and Time-frequency Domain Databased Damage Identification Parameters," International Journal of Condition Monitoring, Vol.3, No.2, pp.53-62, 2013. https://doi.org/10.1784/204764213808146626
  5. P. D. Mcfadden and J. D. Smith, "Vibration Monitoring of Rolling Element Bearings by the High-frequency Resonance Technique - a Review," Tribology International, Vol.17, No.1, pp.3-10, 1984. https://doi.org/10.1016/0301-679X(84)90076-8
  6. G. James, D. Witten, T. Hastie and R. Tibshirani, An Introduction to Statistical Learning, Springer, New York, 2013.
  7. C. I. Park, Y. D. Kim, J. S. Kim, J. W. Song and H. S. Choi, Data Mining Using R, Kyowoosa, Seoul, 2011.