Fault Diagnosis in Gear Using Adaptive Signal Processing and Time-Frequency Analysis

능동 신호 처리 및 시간 주파수 해석을 이용한 기어의 이상 진단

  • Published : 1998.08.01

Abstract

기어에서 충격성 진동 및 소음은 치차의 이상과 연관이 있다. 따라서 충격 진동 및 소리는 기어의 이상 진단에 사용되어 질 수 있다. 또한 이들 충격파를 조기에 정확하게 탐지하여 기어의 이상을 진단하면 완전 파손을 방지할 수 있다. 그러나 주변 소음 및 노이즈 신호 때문에 객관적이 충격파의 탐지가 어렵기 때문에, 본 논문은 이러한 숨겨진 충격 신호를 능동 신호 처리 기법을 이용하여 조기에 찾아내고 이것을 시간-주파수 영역에서 해석하였다.

Keywords

References

  1. Ph. D. Thesis, ISVR(Institue of Sound and Vibration Reaserach), the University of Southampton Adaptive Singal Processing and Time Frequency Analysis and Their Application to the Acoustic and Vibration Signals of Faults in the Rotating Machinery Lee, S. K.
  2. Mechanical Systems and Signal Processing v.4 no.5 Non-Stationary Modelling if Vibration Signals for Monitoring the Condition of Machinery Zhuge, Q.
  3. Trans. of ASME. Journal of Mechanical Design v.100 no.2 Detection of Rolling Element Bearing Damage by Statistical Vibration Analysis Dyer, D.;Stewart, R. M.
  4. B&K Application Note, Technical Report Cepstrum Analysis and Gearbox Fault Detection Randall, R.
  5. Mechanical Systems and Signal Processing v.7 no.3 Early Detection of Gear Failure by Vibration Analysis - Ⅰ. Calculation of the Time-Frequency Distribution Wang, W. J.;McFadden, P. D.
  6. Mechanical Systems and Signal Processing v.11 Local Tooth Fault Detection in Gearboxes Using a Moving window Procedure Staszewski, W. J.;Tomlinson, G. R.
  7. ASME Design Engineering Technical Conferences, 16th Biennial Conference on Mechanical Vibration and Noise. DETC97/VIB-4236 Fault Identification for Rotating Machinery Using Adaptive Aignal Processing and Time-Frequency Analysis Lee, S. K.;White, P. R.
  8. Higher-Order Statistical Signal Processing Application of Higher-Order Spectra to the Analysis and Detection of Knock in Combustion Engines Zoubi, A. M.;Bhme, J. F.;Boashash, B(et al)
  9. ASME Design Engineering Technical Conferences, 16th Biennial Conference on Mechanical Vibration and Noise, DETC97/VIB-4137 Indentification of Fault Signal in Rotating Machinery Using Higher Order Time Frequency Analysis Lee, S. K.;White, P.R.
  10. Mechanical Systems and Signal Processing v.11 no.5 G. R. Time Frequency Analysis in Gear box Fault Detection Using the Wigner-Ville Distribution and Pattern Recognition Staszewski, W. J.;Tomlinson
  11. Journal of Sound and Vibration v.65(1) On the Extraction and Filtering of Signals Acquired From Rotating Machines Braun, S. G.;Seth, B. B.
  12. Journal of Sound and Vibration, accepted paper Enhancement of Impulsive Signals for Fault Detection Lee, S. K.;P. R. White
  13. IEEE Tran., ASSP v.37 Improved Time-Frequency Representation of Multiple Component Signal Using Exponential Kernel Choi, H.I;Williams, W.
  14. Mechanical System and Signal Processing v.1 no.2 Examination of a Technique for the Early Detection of Failure in Gears by Signal Processing of the Time Domain Average of the Meshing Vibration McFadden, P. D.
  15. Adaprive Signal Processing (1st Edition) Widrow, B.;Stearns S.D.
  16. Adaptive Filter Theory (2nd Edition) Haykin, S.
  17. Ph. D. Dissertation in ISVR University of Southampton Adaptive Signal Processing and Its Application to Infrared Detector System White, P. R.
  18. ISVR, University of Southampton. Report MHM/R/10/77 Some Useful Data Analysis Techniques for Gearbox Diagnostics Stewart, R. W.