Simulating gear and bearing interactions in the presence of faults. Part II: Simulation of the vibrations produced by extended bearing faults

Mechanical Systems and Signal Processing

Volumn 22, Issue 8, 2008, Pages 1952-1966

  Sawalhi, N ^a   Randall, R B ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Cyclostationary; Envelope analysis; Extended fault; Gears; Rolling element bearing

Indexed keywords

BEARINGS (STRUCTURAL); DYNAMIC PROGRAMMING; ELECTRIC FAULT LOCATION; FLOW INTERACTIONS; FREQUENCY RESPONSE; HEALTH; LATTICE VIBRATIONS; VIBRATIONS (MECHANICAL);

BEARING FAULTS; DIAGNOSTIC TECHNIQUES; ELSEVIER (CO); HIGH-FREQUENCY (HF); IMPACT RESPONSES; OUTER RACE (OR); ROLLING ELEMENT BEARINGS; SIMULATION MODELLING; TEST RIGS;

DYNAMIC MODELS;

EID: 47549114913     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2007.12.002     Document Type: Article

References (12)

1. Antoni J., and Randall R.B. Differential diagnosis of gear and bearing faults. Journal of Vibration and Acoustics 124 (2002) 165-171
2. D. Ho, Bearing diagnostics and self-adaptive noise cancellation, Ph.D. Dissertation, UNSW, Sydeny, 1999.
3. Antoni J., and Randall R.B. Unsupervised noise cancellation for vibration signals: Part II-A novel frequency domain algorithm. Mechanical Systems and Signal Processing 18 (2004) 103-117
4. McFadden P.D., and Smith J.D. Vibration monitoring of rolling element bearings by the high frequency resonance technique-a review. Tribology International 117 1 (1984) 3-10
5. Ho D., and Randall R.B. Optimization of bearing diagnostic techniques using simulated and actual bearing fault signals. Mechanical Systems and Signal Processing 14 5 (2000) 763-788
6. Gardner W.A. Introduction to Random Processes with Application to Signals and Systems (1986), Macmillan, New York
7. J. Wu, Rotation invariant classification of 3D surface texture using photometric stere, Ph.D. Dissertation, School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, 2002.
8. S. Chobsaard, Use of cyclostationarity analysis in diagnosis of bearings, M.Eng.Sc. Thesis, The University of New South Wales, School of Mechanical and Manufacturing Engineering, 1999.
9. Randall R.B., Antoni J., and Chobsaard S. The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals. Mechanical Systems and Signal Process 15 5 (2001) 945-962
10. Antoni J. The spectral kurtosis: a useful tool for characterising nonstationary signals. Mechanical Systems and Signal Processing 20 2 (2006) 282-307
11. R.B. Randall, Application of spectral kurtosis in machine diagnostics and prognostics, in: DAMAS Conference, vols. 293-294, Gdansk, pp. 21-32, 2005.
12. Sawalhi N., Randall R.B., and Endo H. The enhancement of fault detection and diagnosis in rolling element bearings using minimum entropy deconvolution combined with spectral kurtosis. Mechanical Systems and Signal Processing 21 6 (2007) 2616-2633