Comparison between Wigner-Ville distribution- and empirical mode decomposition vibration-based techniques for helical gearbox monitoring

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 225, Issue 8, 2011, Pages 1833-1846

  Ibrahim, G R ^a   Albarbar, A ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

Empirical mode decomposition; Fault detection; Smoothed pseudo Wigner Ville distribution; Tooth breakage; Total energy

Indexed keywords

EARLY FAULT; EMPIRICAL MODE DECOMPOSITION; ENERGY CALCULATION; GEARBOX SYSTEMS; HELICAL GEAR BOX; SMOOTHED PSEUDO WIGNER VILLE DISTRIBUTION; TOOTH BREAKAGE; TOTAL ENERGY; TOTAL LOAD; TWO STAGE; VIBRATION SIGNATURE; WIGNER-VILLE DISTRIBUTION;

FAULT DETECTION; PROBABILITY DISTRIBUTIONS;

HELICAL GEARS;

EID: 80052799625     PISSN: 09544062     EISSN: 20412983     Source Type: Journal    
DOI: 10.1177/0954406211403571     Document Type: Conference Paper

References (20)

1. Baydar, N. and Ball, A. Detection of gear deterioration under varying load conditions by using the instantaneouse power spectrum. Mech. Syst. Signal Process., 2000, 14(6), 907-921. (Pubitemid 32076535)
2. Wu, J. and Chan, J.-J. Faulted gear identification of rotating machinery based on wavelet transform and artificial neural network. Expert Syst. Appl., 2009, 36(5), 8862-8875.
3. Belsak, A. and Flasker, J. Wavelet analysis for gear crack identification. Eng. Fail. Anal., 2009, 16, 1983-1990.
4. Kar, C. and Mohanty, A. R. Vibration and current transient monitoring for gearbox fault detection using multiresolution Fourier transform. J. Sound Vib., 2008, 311, 109-132.
5. Wu, J. and Hsu, C. Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference. Expert Syst. Appl., 2009, 36, 3785-3794.
6. Loutridis, S. J. Gear failure prediction using multiscale local statistics. Eng. Struct., 2008, 30, 1214-1223. (Pubitemid 351461168)
7. Endo, H., Randall, R. B., and Gosselin, C. Differential diagnosis of spall vs. cracks in the gear tooth fillet region: experimental validation. Mech. Syst. Signal Process., 2009, 23, 636-651.
8. Li, C. J., Lee, H., and Choi, S. H. Estimating size of gear tooth root crack using embedded modelling. Mech. Syst. Signal Process., 2002, 16(5), 841-852. (Pubitemid 35263679)
9. Babak, E. and Mba, D. Seeded fault detection on helical gears with acoustic emission. Appl. Acoust., 2009, 70, 547-555.
10. Tan, C. K. and Mba, D. Identification of the acoustic emission source during a comparative study on diagnosis of a spur gearbox. Tribol. Int., 2005, 38, 469-480.
11. RajaHamzah, R. I. and Mba, D. The influence of operating condition on acoustic emission (AE) generation during meshing of helical and spur gear. Tribol. Int., 2009, 42, 3-14.
12. Li, R., Yang, C., Lin, T., Chen, X., and Wang, L. Finite element simulation of the dynamical behavior of a speed-increase gearbox. J. Mater. Process. Technol., 2004, 150, 170-174.
13. Jia, S. and Howard, I. Comparison of localized spalling and crack damage from dynamic modelling of spur gear vibration. Mech. Syst. Signal Process., 2006, 20, 332-349. (Pubitemid 41606172)
14. Howard, I., Jia, S., and Wang, J. The dynamic modelling of a spur gear in mesh including friction and a crack. Mech. Syst. Signal Process., 2001, 15(5), 831-853. (Pubitemid 33112615)
15. Wu, S., Zuo, M., and Parey, A. Simulation of spur gear dynamics and estimation of fault growth. J. Sound Vib., 2008, 317, 608-624.
16. Choy, F. K., Polyshchuk, V., Zakrajsek, J. J., Handschuh, R. F., and Townsend, D. P. Analysis of the effects of surface pitting and wear on the vibration of a gear transmission system. Tribol. Int., 1996, 29(1), 77-83. (Pubitemid 126397776)
17. Roshan-Ghiasa, A., Shamsollahib, M. B., Mobedb, M., and Behzada, M. Estimation of modal parameters using bilinear joint time-frequency distributions. Mech. Syst. Signal Process., 2007, 21, 2125-2136.
18. Parey, A., El Badaoui, M., Guillet, F., and Tandon, N. Dynamic modelling of spur gear pair and application of empirical mode decomposition-based statistical analysis for early detection of localized tooth defect. J. Sound Vib., 2006, 294, 547-561. (Pubitemid 44262248)
19. Gao, Q., Duan, C., Fan, H., and Meng, Q. Rotating machine fault diagnosis using empirical mode decomposition. Mech. Syst. Signal Process., 2008, 22, 1072-1081. (Pubitemid 351484195)
20. Cheng, J., Yu, D., Tang, J., and Yang, Y. Application of frequency family separation method based upon EMD and local Hilbert energy spectrum method to gear fault diagnosis. Mach. Theor., 2008, 43, 712-723. (Pubitemid 351503601)