A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy

Journal of Sound and Vibration

Volumn 360, Issue , 2016, Pages 277-299

  Li, Yongbo ^a   Xu, Minqiang ^a   Wang, Rixin ^a   Huang, Wenhu ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AMPLITUDE MODULATION; BEARINGS (MACHINE PARTS); BINARY TREES; ENTROPY; FAILURE ANALYSIS; FREQUENCY MODULATION; ROLLER BEARINGS; SIGNAL PROCESSING; TIME SERIES ANALYSIS;

ADAPTIVE TIME-FREQUENCY ANALYSIS; AMPLITUDE MODULATED; FAULT DIAGNOSIS SCHEMES; FREQUENCY MODULATED; LOCAL MEAN DECOMPOSITION (LMD); LOCAL MEAN DECOMPOSITIONS; PRODUCT FUNCTIONS; SELF-SIMILARITIES;

FAULT DETECTION;

EID: 84944345608     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2015.09.016     Document Type: Article

References (44)

1. H. Ocak, K.A. Loparo, and F.M. Discenzo Online tracking of bearing wear using wavelet packet decomposition and probabilistic modeling: a method for bearing prognostics Journal of Sound and Vibration 302 2007 951 961
2. Z. Feng, and M.J. Zuo Vibration signal models for fault diagnosis of planetary gearboxes Journal of Sound and Vibration 331 2012 4919 4939
3. S. Janjarasjitt, H. Ocak, and K.A. Loparo Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal Journal of Sound and Vibration 317 2008 112 126
4. C.S. Park, Y.C. Choi, and Y.H. Kim Early fault detection in automotive ball bearings using the minimum variance cepstrum Mechanical Systems and Signal Processing 38 2013 534 548
5. Y. Yang, D.J. Yu, and J.S. Cheng A roller bearing fault diagnosis method based on EMD energy entropy and ANN Journal of Sound and Vibration 294 2006 269 277
6. J.L. Lin, J.Y. Liu, C.W. Li, L.F. Tsai, and H.Y. Chung Motor shaft misalignment detection using multiscale entropy with wavelet denoising Expert Systems with Applications 37 2010 7200 7204
7. H. Liu, and M. Han A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings Mechanism and Machine Theory 75 2014 67 78
8. J.D. Zheng, J.S. Cheng, and Y. Yang A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy Mechanism and Machine Theory 70 2013 441 453
9. R. Rubini, and U. Meneghetti Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings Mechanical Systems and Signal Processing 15 2001 287 302
10. N.E. Huang, Z. Shen, R. Long, C. Wu, H. Shih, Q. Zheng, C. Yen, C. Tung, and H. Liu The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of the Royal Society of London Series A - Mathematical Physical and Engineer Sciences 454 1998 903 995
11. Z.K. Peng, P.W. Tse, and F.L. Chu An improved Hilbert-Huang transform and its application in vibration signal analysis Journal of Sound and Vibration 286 2005 187 205
12. J.S. Smith The local mean decomposition and its application to EEG perception data Journal of the Royal Society Interface 2 2005 443 445
13. J.S. Cheng, and Y. Yang A rotating machinery fault diagnosis method based on local mean decomposition Digital Signal Processing 22 2012 356 366
14. S.M. Pincus Approximate entropy as a measure of system complexity Proceedings of the National Academy of Sciences 88 1991 2297 2301
15. L. Zhang, G. Xiong, and H. Liu Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference Expert Systems with Applications 37 2010 6077 6085
16. J.S. Richman, and J.R. Moorman Physiological time-series analysis using approximate entropy and sample entropy American Journal of Physiology - Heart and Circulatory Physiology 278 2000 H2039 H2049
17. M. Costa, A.L. Goldberger, and C.K. Peng Multiscale entropy analysis of complex physiologic time series Physical Review Letters 89 2002 068102
18. S.D. Wu, P.H. Wu, C.W. Wu, J.J. Ding, and C.C. Wang Bearing fault diagnosis based on multiscale permutation entropy and support vector machine Entropy 14 2012 1343 1356
19. W. Chen, J. Zhuang, W. Yu, and Z. Wang Measuring complexity using FuzzyEn, ApEn, and SampEn Medical Engineering & Physics 31 2009 61 68
20. J.D. Zheng, J.S. Cheng, Y. Yang, and S.R. Luo A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination Mechanism and Machine Theory 78 2014 187 200
21. X. He, D. Cai, and P. Niyogi Laplacian score for feature selection Advances in Neural Information Processing System 2005 507 551
22. Stefan Knerr, L.éon Personnaz, and G.érard Dreyfus Single-layer learning revisited: a stepwise procedure for building and training a neural network Neurocomputing 1990 41 50
23. J.D. Wu, and Y.J. Tsai Speaker identification system using empirical mode decomposition and an artificial neural network Expert Systems with Applications 38 2011 6112 6117
24. K. Polat, and S. Güneş An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease Digital Signal Processing 17 2007 702 710
25. S. Haykin Neural Networks. A Comprehensive Foundation 2005 Pearson Prentice Hall Publications Ontario, Canada
26. P.K. Kankar, C. Satish, and S.P. Sharma Fault diagnosis of ball bearings using machine learning methods Expert Systems with Applications 38 2011 1876 1886
27. S. Cheong, S. Hoon, and S. Lee Support vector machines with binary tree architecture for multi-class classification Neural Information Processing - Letters and Reviews 2 2004 47 51
28. G. Madzarov, and D. Gjorgjevikj Evaluation of distance measures for multi-class classification in binary SVM decision tree Artificial Intelligence and Soft Computing 2010 437 444
29. F.M. Tang, Z.D. Wang, and J.Y. Chen On multiclass classification methods of support vector machines Control and Decision 20 2005 746 749
30. H.Y. Zhao, M.Q. Xu, and J.D. Wang An improved binary tree SVM and application for fault diagnosis Journal of Vibration Engineering 26 2013 764 770
31. C. Li, and M. Liang Continuous-scale mathematical morphology-based optimal scale band demodulation of impulsive feature for bearing defect diagnosis Journal of Sound and Vibration 331 2012 5864 5879
32. J.M. Yentes, N. Hunt, and K.K. Schmid. The appropriate use of approximate entropy and sample entropy with short data sets Annals of Biomedical Engineering 41 2013 349 365
33. Y.W. Chen, and C.J. Lin Combining SVMs with various feature selection strategies Feature Extraction 2006 315 324
34. M. Robnik-Šikonja, and I. Kononenko Theoretical and empirical analysis of ReliefF and RReliefF Machine Learning 53 2003 23 69
35. B. Catherine, and J.M. Christopher UCI Repository of Machine Learning Databases 1998 Department of Information and Computer Science, University of California
36. B. Samanta, K.R. Al-Balushi, and S.A. Al-Araimi Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection Engineering Applications of Artificial Intelligence 16 2003 657 665
37. S. Sathiya Keerthi Asymptotic behaviors of support vector machines with Gaussian kernel Neural Computation 15 2003 1667 1689
38. B. Scholkopf, K.K. Sung, and F. Girosi Comparing support vector machines with Gaussian kernels to radial basis function classifiers IEEE Transactions on Signal Processing 45 1997 2758 2765
39. J. Kamruzzaman, and R.K. Begg Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait IEEE Transactions on Biomedical Engineering 53 2006
40. A. Subasi A decision support system for diagnosis of neuromuscular disorders using DWT and evolutionary support vector machines Signal Image and Video Processing 9 2015 399 408
41. Bearing Data Center, Case Western Reserve University, .
42. Aditya Sharma, M. Amarnath, and P.K. Kankar Feature extraction and fault severity classification in ball bearings Journal of Vibration and Control 2014 1 17
43. Y.B. Li, M.Q. Xu, Y. Wei, and W.H. Huang A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree Measurement 2015
44. V. Vakharia, V.K. Gupta, and P.K. Kankar A multiscale entropy based approach to select wavelet for fault diagnosis of ball bearings Journal of Vibration and Control 2014 1 9