Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: Application to the detection of defects in ball bearings

Journal of Sound and Vibration

Volumn 270, Issue 1-2, 2004, Pages 61-73

  Dron, J P ^a   Bolaers, F ^a   Rasolofondraibe, L ^a  

^a UNIVERSITÉ DE REIMS CHAMPAGNE ARDENNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC NOISE; BANDPASS FILTERS; DEFECTS; FOURIER TRANSFORMS; RESONANCE; SENSITIVITY ANALYSIS; SPALLING; TIME DOMAIN ANALYSIS; VIBRATIONS (MECHANICAL);

CREST FACTOR; KURTOSIS; SPECTRAL SUBTRACTION;

BALL BEARINGS;

EID: 1642442779     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0022-460X(03)00483-8     Document Type: Article

References (13)

1. O. Bardou, Sur des Méthodes de Surveillance et de Diagnostic Vibratoire de Machines Tournantes, Thèse Doctorat de l'Institut National Polytechnique de Grenoble, 1994.
2. C. Pachaud, Crest factor and kurtosis contributions to identify defects inducing periodical impulsive forces, Mechanical Systems and Signal Processing 11(6) (1997) 903-916.
3. J. Mathiew, R.J. Alfredson, The condition monitoring of rolling element bearings using vibration analysis, Transactions of the American Society of Mechanical Engineers, Journal of Vibration, Acoustics Stress and Reliability in Design 106 (1984) 447-453.
4. P.D. McFadden, J.D. Smith, Vibration monitoring of rolling element bearings by the high frequency resonance technique, Tribology International 17(1) (1984) 3-10 (Review).
5. P.Y. Kim, A review of rolling element bearing health monitoring (II): preliminary test results on current technologies, in: Proceedings of Machinery Vibration Monitoring and Analysis Meeting, Vibration Institute, New Orleans, 26-28 June 1984, pp. 127-137.
6. J.B. Allen, L.R. Rabiner, A unified approach to short-time Fourier analysis and synthesis, Proceedings of the IEEE 65(11) (1977) 207-214.
7. J.B. Boll, Suppression of acoustic noise in speech using spectral subtraction, IEEE Transactions on Acoustics, Speech and Signal Processing 27(22) (1979).
8. L. Cai, C. Vincent, Débruitage de signaux chocs par soustraction spectrale du bruit, Mécanique Industrielle et Matériaux 47(2) (1994) 320-332.
9. H. Campagna, Etude des Roulements par Analyse Spectrale, Vibrations actualités No. 3, Editions Callipro, Roussillon, 1985.
10. A. Boullenger, C. Pachaud, Diagnostic Vibratoire en Maintenance Préventive, Dunod, Paris, 1998.
11. D. Ho, R.B. Randall, Optimisation of bearing diagnostic techniques using simulated and actual bearing fault signals, Mechanical System and Signal Processing 14(5) (2000) 763-788.
12. L. Bourgain, R. Dart, J. Bourgain, Machine Tournantes et Circuit Pulsés, Dunod, Paris, 1988, pp. 286-294.
13. N. Tandon, A comparison of some vibration parameters for the condition monitoring of rolling element bearings, Measurement 12 (1994) 285-289.