A fault diagnosis approach for roller bearing based on VPMCD under variable speed condition

Measurement: Journal of the International Measurement Confederation

Volumn 46, Issue 8, 2013, Pages 2306-2312

  Yang, Yu ^a   Wang, Huanhuan ^a   Cheng, Junsheng ^a   Zhang, Kang ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Fault diagnosis; LMD; Order tracking analysis; Roller bearing; VPMCD

Indexed keywords

ASSOCIATION REACTIONS; BEARINGS (MACHINE PARTS); FAILURE ANALYSIS; PATTERN RECOGNITION;

FAULT DIAGNOSIS METHOD; LMD; LOCAL MEAN DECOMPOSITION (LMD); ORDER TRACKING ANALYSIS; ORDER TRACKING TECHNIQUES; PATTERN RECOGNITION METHOD; VARIABLE SPEED CONDITIONS; VPMCD;

ROLLER BEARINGS;

EID: 84879095999     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2013.03.023     Document Type: Article

References (22)

1. H. Qiu, J. Lee, J. Lin, and G. Yu Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics Journal of Sound and Vibration 289 4-5 2006 1066 1090
2. Yaguo Lei, Zhengjia He, and Yanyang Zi EEMD method and WNN for fault diagnosis of locomotive roller bearings Expert Systems with Applications 38 6 2011 7334 7341
3. V. Sugumaran, and K.I. Ramachandran Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing Mechanical Systems and Signal Processing 21 5 2007 2237 2247
4. J.D. Wu, and C.H. Liu An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network Expert Systems with Applications 36 3 2009 4278 4286
5. A.D. Veltcheva, and C Guedes Soares Identification of the components of wave spectra by the Hilbert huang transform method Applied Ocean Research 26 1 2004 1 12
6. N.E. Huang, Z. Shen, and S.R. Long A new view of nonlinear water waves: the Hilbert spectrum Annual Review of Fluid Mechanics 31 1999 417 457
7. H.T. Vincent, S.-L.J. Hu, Z. Hou, Damage detection using empirical mode decomposition method and a comparison with wavelet analysis, in: Proceedings of the Second International Workshop on Structural Health Monitoring, Stanford, 1999, p. 891-900.
8. N.E. Huang, Z. Shen, and S.R. Long The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of the Royal Society of London Series 454 1998 903 995
9. Yu Yang, Yu Dejie, and Junsheng Cheng A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM Measurement 40 9-10 2007 943 950
10. N.E. Huang, M.-L.C. Wu, and S.R. Long A confidence limit for the empirical mode decomposition and Hilbert spectral analysis, proceedings of the royal society of London, series A Mathematical and Physical Sciences 459 2003 2317 2345
11. Junsheng. Cheng, Yu. Dejie, and Yu Yang Application of support vector regression machines to the processing of end effects of Hilbert-Huang transform Mechanical Systems and Signal Processing 21 3 2007 1197 1211
12. Junsheng. Cheng, Yu. Dejie, and Yu Yang Research on the intrinsic mode function (IMF) criterion in EMD method Mechanical Systems and Signal Processing 20 4 2006 817 824
13. R.T. Rato, M.D. Ortigueira, and A.G. Batista On the HHT, its problems, and some solutions Mechanical Systems and Signal Processing 22 6 2008 1374 1394
14. G.A. Radcliff Condition Monitoring of Rolling Element Bearings Using the Enveloping Technique, Machine Condition Monitoring 1990 Mechanical Engineering Publication Ltd. London p. 55-67
15. Alexandros Potamianos, and Petros Maragos A comparison of the energy operator and the Hilbert transform approach to signal and speech demodulation Signal Processing 37 1 1994 95 120
16. Jonathan S. Smith The local mean decomposition and its application to EEG perception data Journal of the Royal Society Interface 2 5 2005 443 454
17. Junsheng Cheng, Yu Kan Zhang, and Dejie Yu Yang Comparison between the methods of local mean decomposition and empirical mode decomposition Journal of Vibration and Shock 28 5 2009 13 16
18. JianDa Wu, YuHsuan Wang, PengHsin Chiang, Mingsian R. Bai, A study of fault diagnosis in a scooter using adaptive order tracking technique and neural network, Expert Systems with Applications 36(1) (2009) 49-56.
19. V. Sugumaran, and K.I. Ramachandran Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning Expert Systems with Applications 38 5 2011 4901 4907
20. V. Sugumaran, and K.I. Ramachandran Effect of number of features on classification of roller bearing faults using SVM and PSVM Expert Systems with Applications 38 4 2011 4088 4096
21. Yu Yang, Yu Dejie, and Junsheng Cheng A roller bearing fault diagnosis method based on EMD energy entropy and ANN Journal of Sound and Vibration 294 2006 269 277
22. Rao Raghuraj, and Samavedham Lakshminarayanan Variable predictive models - a new multivariate classification approach for pattern recognition applications Patten Recognition 42 1 2009 7 16