Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Distinction of Roller Bearing Defect from Gear Defect via Envelope Process and Autocorrelation Enhancement

Journal Article
2017-01-9681
ISSN: 1946-3995, e-ISSN: 1946-4002
DOI: https://doi.org/10.4271/2017-01-9681
Published May 18, 2017 by SAE International in United States
Distinction of Roller Bearing Defect from Gear Defect via Envelope Process and Autocorrelation Enhancement
Sector:
Citation: El Morsy, M. and Achtenova, G., "Distinction of Roller Bearing Defect from Gear Defect via Envelope Process and Autocorrelation Enhancement," SAE Int. J. Passeng. Cars - Mech. Syst. 10(2):426-432, 2017, https://doi.org/10.4271/2017-01-9681.
Language: English

References

  1. Park Choon-Su , Choi Young-Chul , Kim Yang-Hann Early fault detection in automotive ball bearings using the minimum variance cepstrum Mechanical Systems and Signal Processing 38 2013 534 548
  2. Taylor J.I. Identification of bearing defects by spectral analysis J. Mech. Des. 102 1980 199 204
  3. Lee C. W. , Park J.-P. Inner race fault detection in rolling element bearings by using directional spectra of vibration signals Sixth Int. Conf. Vibration Rotating Mach. Oxford, U.K. 1999 361 370
  4. Kim Y.-H. , Lim B.D. , Cheung W.S. Fault detection in a ball bearing system using a moving window Mech. Syst. Signal Process 5 1991 461 473
  5. Sawalhi N. , Randall R.B. , Endo H. The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis Mech. Syst. Signal Process 21 2007 2616 2633
  6. Lei Y. , Lin J. , He Z. , Zi Y. Application of an improved kurtogram method for fault diagnosis of rolling element bearings Mech. Syst. Signal Process 25 2011 1738 1749
  7. Liang M. , Bozchalooi I.S. An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection Mech. Syst. Signal Process 24 2010 1473 1494
  8. Ho D. , Rall R.B. Manifestations of bearing fault vibrations in gearboxes Sixth Int. Congr. Sound Vibration 1999 2943 2950
  9. Randall R.B. Frequency Analysis B&K 1987
  10. Choi Y.-C. , Kim Y.-H. Fault detection in a ball bearing system using minimum variance Cepstrum Meas. Sci. Technol. 18 2007 1433 1440
  11. Randall R.B. , New A. Method of modeling gear faults J. Mech. Des. 104 1982 256 267
  12. Mc Fadden P.D. , Smith J.D. Model for the vibration produced by a single point defect in a rolling element bearing J. Sound Vibration 96 1984 69 82
  13. Kim Y.-H. , Cheung W.S. , Kwak Y.K. Complex envelope of the vibration signature of ball bearing system and its application to fault detection IV Int. Cong. Exp. Mech. Oregon, U.S.A. 1988 461 473
  14. Ming Y. , Chen J. , Dong G. Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum Mech. Syst. Signal Process 25 2011 1773 1785
  15. Peng Z.K. , Chu F.L. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography Mech. Syst. Signal Process 18 2004 199 221
  16. Abbasion S. , Rafsanjani A. , Farshidianfar A. , Irani N. Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine Mech. Syst. Signal Process 21 2007 2933 2945
  17. Bozchalooi I.S. , Liang M. A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals Mech. Syst. Signal Process 22 2008 915 933
  18. Su W. , Wang F. , Zhu H. , Zhang Z. , Guo Z. Rolling element bearing faults diagnosis based on optimal Morlet wavelet filter and autocorrelation enhancement Mech. Syst. Signal Process 24 2010 1458 1472
  19. Lee S.K. , White P.R. The enhancement of impulsive noise and vibration signals for fault detection in rotating and reciprocating machinery J. Sound Vibration 217 3 1998 485 505
  20. Mccormick A.C. , Nandi A.K. Cyclo-stationarity in rotating machine vibrations Mech. Syst. Signal Process 12 1998 225 242
  21. Capdessus C. , Sidahmed M. , Lacoume J. L. Cyclostationary processes: application in gear faults early diagnosis Mech. Syst. Signal Process 14 2000 371 385
  22. Randall R. B. , Antoni J. , Chobsaard S. The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine Mech. Syst. Signal Process 15 5 2001 945 962
  23. Randall R. B. , and Antoni J. Differential Diagnosis of Gear and Bearing Faults Journal of Vibration and Acoustics 124 / 165 2002 10.1115/1.1456906
  24. El Morsy , M. and Achtenova , G. Application of Optimal Morlet Wavelet Filter for Bearing Fault Diagnosis SAE Int. J. Passeng. Cars - Mech. Syst. 8 3 817 824 2015 10.4271/2015-01-2178
  25. Gardner , W. A. Introduction to Random Processes with Applications to Signals and Systems 1986 Macmillan

Cited By

Recommended Content

Technical Paper Noise and Vibration Refinement of the Ford 3.8 Liter Powertrain
Technical Paper Noise and Vibration End-of-Line Production Testing and Analysis Challenges
Technical Paper Engine Noise Reduction by Structural Study of Cylinder Block