An approach to signal processing and condition-based maintenance for gearboxes subject to tooth failure

Mechanical Systems and Signal Processing

Volumn 18, Issue 5, 2004, Pages 993-1007

  Lin, Darning ^a   Wiseman, Murray ^a   Banjevic, Dragan ^b   Jardine, Andrew K S ^b  

^a OMDEC Inc   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DATA REDUCTION; ERROR ANALYSIS; MAINTENANCE; SIGNAL PROCESSING; VIBRATIONS (MECHANICAL);

CONDITION BASED MAINTENANCE; FAULT GROWTH PARAMETER; GEARBOXES; TOOTH FAILURE;

GEAR TEETH;

EID: 2942528827     PISSN: 08883270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ymssp.2003.10.005     Document Type: Article

References (18)

1. D. Banjevic, A.K.S. Jardine, V. Makis, M. Ennis, A control-limit policy and software for condition-based maintenance optimization, INFOR 39 (2001) 32-50.
2. A.K.S. Jardine, D. Banjevic, M. Wiseman, S. Buck, T. Joseph, Optimizing a mine haul truck wheel motor's condition monitoring program: use of proportional hazards modeling, Journal of Quality in Maintenance Engineering 7 (2001) 286-301.
3. V. Makis, A.K.S. Jardine, Optimal replacement in the proportional hazards model, INFOR 30 (1992) 172-183.
4. A. J. Miller, A new wavelet basis for the decomposition of gear motion error signals and its application to gearbox diagnostics, M.Sc. Thesis, The Pennsylvania State University, 1999.
5. W.J. Wang, P.D. McFadden, Decomposition of gear motion signals and its application to gearbox diagnostics, Journal of Vibration and Acoustics 117 (1995) 363-369.
6. R. Young, Wavelet Theory and Its Applications, Kluwer Academic Publishers, Boston, 1993.
7. J. Lin, L. Qu, Feature extraction based on Morlet wavelet and its application for mechanical fault diagnosis, Journal of Sound and Vibration 234 (2000) 135-148.
8. W.J. Wang, P.D. McFadden, Application of wavelets to gearbox vibration signals for fault detection, Journal of Sound and Vibration 192 (1996) 927-939.
9. H. Zheng, Z. Li, X. Chen, Gear fault diagnosis based on continuous wavelet transform, Mechanical Systems and Signal Processing 16 (2002) 447-457.
10. A.J. Miller, K.M. Reichard, A new wavelet basis for automated fault diagnostics of gear teeth, Proceedings of Internoise 99, International Institute of Noise Control Engineering, Fort Lauderdale, FL, 1999.
11. K.M. Reichard, A.J. Miller, Wavelet-based filter design for gear tooth fault diagnostics and prognostics, improving productivity through applications of condition monitoring, 54th Meeting of the Society for Machinery Failure Prevention Technology, Virginia Beach, VA, 2000, pp. 365-374.
12. M. Aitkin, D. Clayton, The fitting of exponential, Weibull and extreme value distributions to complex censored survival data using GLIM, Applied Statistics 29 (1980) 156-163.
13. P.K. Andersen, M.W. Bentzon, J.P. Klein, Estimating the survival function in the proportional hazards regression model: a study of the small sample size properties, Scandinavian Journal of Statistics 23 (1996) 1-12.
14. M.E. Johnson, H.D. Tolley, M.C. Bryson, A.S. Goldman, Covariate analysis of survival data: a small-sample study of Cox's model, Biometrics 38 (1982) 685-698.
15. K.A.H. Kobbacy, D.F. Percy, B.B. Fawzi, Small data sets and preventive maintenance modeling, Journal of Quality in Maintenance Engineering 3 (1997) 136-142.
16. D.W. Hosmer, S. Lemeshow, Applied Survival Analysis, Wiley, New York, 1999.
17. P.J. Vlok, J.L. Coetzee, D. Banjevic, A.K.S. Jardine, V. Makis, Optimal component replacement decisions using vibration monitoring and the proportional-hazards model, Journal of the Operational Research Society 53 (2002) 193-202.
18. J.I. Ansell, M.J. Phillips, Practical aspects of modeling of repairable systems data using proportional hazards models, Reliability Engineering and System Safety 58 (1997) 165-171.