Diagnosis of rolling element bearing faults using radial basis function networks

Applied Signal Processing

Volumn 6, Issue 1, 2000, Pages 25-32

  Jack, L B ^a   Nandi, A K ^a   McCormick, A C ^b  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; NEURAL NETWORKS; ROLLER BEARINGS;

MACHINE CONDITION MONITORING; RADIAL BASIS FUNCTION NETWORKS; ROLLING ELEMENT BEARINGS;

MACHINE VIBRATIONS;

EID: 0033899269     PISSN: 09410635     EISSN: None     Source Type: Journal    
DOI: 10.1007/s005290050031     Document Type: Article

References (12)

1. Renwick JT. Vibration analysis - a proven technique as a predictive maintenance tool. IEEE Trans Indust Applic 1985; 21:324-332
2. Barkov AV, Barkova NA, Mitchell JS. Condition assessment and life prediction of rolling element bearings: Part 1. Sound Vibr 1995; June: 10-17
3. Liu TI, Mengel JM. Intelligent monitoring of ball bearing conditions. Mech Syst Sig Process 1992; 6(5):419-431
4. Mayes JW. Use of neural networks for on-line vibration monitoring. Proc IMechE Pt A 1994; 208: 267-274
5. McCormick AC, Nandi AK. Classification of rotating machine condition using artificial neural networks. Proc IMechE Pt C 1997; 11(6):439-450
6. McCormick AC, Nandi AK. Real time classification of rotating shaft loading conditions using artificial neural networks. IEEE Trans Neur Net 1997; 8(3): 748-757
7. Haykin S. Neural networks: a comprehensive foundation, chapter 7. Macmillan, 1994
8. Stewart RM. Application of signal processing techniques to machinery health monitoring. In: White RG, Walker RM (eds). Noise and vibration. John Wiley and Sons, New York, 1986
9. Mechefske CK, Mathew J. Fault detection and diagnosis in low speed rolling element bearings part I: the use of parametric spectra. Mech Syst Sig Process 1992; 6(4):297-307
10. Fackrell JWA, White PR, Hammond JK, Pinnington RJ, Parsons AT. The interpretation of the bispectra of vibration signals - II. Experimental results. Mech Syst Sig Process 1995; 9(3):267-274
11. Nandi AK. Blind estimation using higher order statistics. Kluwer Academic Publishers, Boston, 1999
12. McFadden PD, Smith J. Vibration monitoring of rolling element bearings by the high frequency resonance technique - a review. Tribol Int 1984; 17(1): 3-10