A novel method of fault diagnosis for rolling element bearings based on the accumulated envelope spectrum of the wavelet packet

JVC/Journal of Vibration and Control

Volumn 21, Issue 8, 2015, Pages 1580-1593

  Jiang, Ruihong ^a   Liu, Shulin ^a   Tang, Youfu ^a   Liu, Yinghui ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Accumulated envelope spectrum (AES); fault diagnosis; rolling element bearing (REB); spectral kurtosis (SK); wavelet packet kurtogram (WPK)

Indexed keywords

FAILURE ANALYSIS; FAULT DETECTION; HIGHER ORDER STATISTICS; STOCHASTIC SYSTEMS; WAVELET ANALYSIS;

ENVELOPE SPECTRA; ENVELOPE SPECTRUM; FREQUENCY SUB-BAND SIGNALS; KURTOGRAM; ROLLING ELEMENT BEARING; SELECTION METHODS; SIMULATED SIGNALS; SPECTRAL KURTOSIS;

ROLLER BEARINGS;

EID: 84928955780     PISSN: 10775463     EISSN: 17412986     Source Type: Journal    
DOI: 10.1177/1077546313499391     Document Type: Article

References (18)

1. Antoni J. The spectral kurtosis: a useful tool for characterizing non-stationary signals. Mechanical Systems and Signal Processing. 2006 ; 20 (2). 282-307
2. Antoni J. Fast computation of the kurtogram for the detection of transient faults. Mechanical Systems and Signal Processing. 2007 ; 21 (1). 108-124
3. Antoni J, Randall RB. Differential diagnosis of gear and bearing faults. Journal of Vibration and Acoustics. 2002 ; 124: 165-171
4. Antoni J, Randall RB. A stochastic model for simulation and diagnostics of rolling element bearings with localized faults. Journal of Vibration and Acoustics. 2003 ; 125 (3). 282-289
5. Antoni J, Randall RB. The spectral kurtosis: application to the vibratory surveillance and diagnostics of machines. Mechanical Systems and Signal Processing. 2006 ; 20 (2). 308-331
6. Barkov A, Barkova N, Mitchell JS. Condition assessment and life prediction of rolling element bearing: part 1. Sound and Vibration. 1995 ; 29: 10-7
7. Barszcz T, Jaboski A. A novel method for the optimal band selection for vibration signal demodulation and comparison with Kurtogram. Mechanical Systems and Signal Processing. 2011 ; 25 (1). 431-451
8. Dwyer R (1983) Detection of non-Gaussian signals by frequency domain kurtosis estimation. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing Boston, MA, April 14-16, vol. 8, pp. 607-610.
9. Ho D, Randall RB. Optimization of bearing diagnostics techniques using simulated and actual bearing fault signals. Mechanical Systems and Signal Processing. 2000 ; 14 (5). 763-788
10. Jiang J, Zhang B. Rolling element bearing vibration modeling with applications to health monitoring. Journal of Vibration and Control. 2012 ; 18 (12). 1768-1776
11. Kankar PK, Sharma Satish C, Harsha SP. Rolling element bearing fault diagnosis using autocorrelation and continuous wavelet transform. Journal of Vibration and Control. 2011 ; 17 (14). 2081-2094
12. Lei Y, Lin J, He Z, Zi Y. Application of an improved kurtogram method for fault diagnosis of rolling element bearings. Mechanical Systems and Signal Processing. 2011 ; 25 (5). 1738-1749
13. Li CJ, Ma J. Wavelet decomposition of vibrations for detection of bearing-localized defects. NDT & E International. 1997 ; 30 (3). 143-149
14. Liu B, Ling SF, Gribonval R. Bearing failure detection using matching pursuit. NDT& E International. 2002 ; 35 (4). 255-262
15. Luo GY, Osypiw D, Irle M. On-line vibration analysis with fast continuous wavelet algorithm for condition monitoring of bearing. Journal of Vibration and Control. 2003 ; 9 (8). 931-947
16. McFadden PD, Smith JD. Model for the vibration produced by a single point defect in a rolling element bearing. Journal of Sound and Vibration. 1984 ; 96 (1). 69-82
17. Sawalhi N and Randall RB (2005) Spectral kurtosis optimization for rolling element bearings. In Proceedings of the Eighth International Symposium on Signal Processing and its Applications, Sydney, Australia, Aug. 28-31, pp. 839-842.
18. Shi L, Randall RB and Antoni J (2004) Rolling element bearing fault detection using improved envelope analysis. In Proceedings of the Eighth International Conference on Vibrations in Machinery, Swansea, Wales, Sept. 7-9, pp. 301-3111.