Sparse classification of rotating machinery faults based on compressive sensing strategy

Mechatronics

Volumn 31, Issue , 2015, Pages 60-67

  Tang, Gang ^a   Yang, Qin ^a   Wang, Hua Qing ^a   Luo, Gang Gang ^a   Ma, Jian Wei ^b  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Compressive sensing; Fault diagnosis; Random dimensionality reduction mapping; Rotating machinery; Sparse representation

Indexed keywords

COMPRESSED SENSING; FAILURE ANALYSIS; MAPPING; ROLLER BEARINGS; ROTATING MACHINERY;

COMPRESSIVE SENSING; DIMENSIONALITY REDUCTION; FAULT CHARACTERISTICS; FAULT IDENTIFICATIONS; OPTIMIZATION STRATEGY; REDUNDANT DICTIONARIES; SPARSE CLASSIFICATION; SPARSE REPRESENTATION;

CLASSIFICATION (OF INFORMATION);

EID: 84928189410     PISSN: 09574158     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mechatronics.2015.04.006     Document Type: Article

References (33)

1. Z. Chuan, L. Chang, W. Xing, and C. Yinlin A demodulation method based on empirical mode decomposition and adaptive morphological filtering Mech Sci Technol Aerosp Eng 8 2011 035
2. A. Ming, F. Chu, and W. Zhang Compound fault features separation of rolling element bearing based on the wavelet decomposition and spectrum auto-correlation Chinese J Mech Eng 49 3 2013 80 87
3. W. Jing, X. Guanghua, Z. Qing, and L. Lin Application of improved morphological filter to the extraction of impulsive attenuation signals Mech Syst Signal Process 23 1 2009 236 245
4. L. Yaguo, L. Jing, H. Zhengjia, and J. Ming Zuo A review on empirical mode decomposition in fault diagnosis of rotating machinery Mech Syst Signal Process 35 1 2013 108 126
5. W.C. Shen, Y.H. Chen, and A.Y.A. Wu Low-complexity sinusoidal-assisted EMD (SAEMD) algorithms for solving mode-mixing problems in HHT Digit Signal Process 24 2014 170 186
6. C. He, J.C. Xing, and Q.L. Yang Optimal wavelet basis selection for wavelet denoising of structural vibration signal Appl Mech Mater 578 2014 1059 1063
7. J. Serra Morphological filtering: an overview Signal Process 38 1 1994 3 11
8. G.G. Daniel Artificial neural network 2013 Encyclopedia of Sciences and Religions, Springer Netherlands p. 143-143
9. M. Shao, X.J. Zhu, H.F. Cao, and H.F. Shen An artificial neural network ensemble method for fault diagnosis of proton exchange membrane fuel cell system Energy 67 2014 268 275
10. Q. Yuhua, Z. Hu, S. Yanli, and L. Jiye Multigranulation decision-theoretic rough sets Int J Approx Reason 55 1 2014 225 237
11. Q. Zhiquan, T. Yingjie, and S. Yong Robust twin support vector machine for pattern classification Pattern Recogn 46 1 2013 305 316
12. E.J. Candès, J. Romberg, and T. Tao Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information IEEE Trans Inform Theory 52 2 2006 489 509
13. Duarte MF, Davenport MA, Wakin MB, Baraniuk RG. Sparse signal detection from incoherent projections. In: ICASSP 2006 proceedings. 2006 IEEE international conference on acoustics, speech and signal processing, 2006. vol. 3, IEEE; 2006. p. III-III.
14. Y.C. Kim, S.S. Narayanan, and K.S. Nayak Accelerated three-dimensional upper airway MRI using compressed sensing Magn Reson Med 61 6 2009 1434 1440
15. G. Hennenfent, and F.J. Herrmann Simply denoise: wavefield reconstruction via jittered undersampling Geophysics 73 3 2008 V19 V28
16. M.A. Herman, and T. Strohmer High-resolution radar via compressed sensing IEEE Trans Signal Process 57 6 2009 2275 2284
17. W.U. Bajwa, J.D. Haupt, A.M. Sayeed, and R.D. Nowak Joint source-channel communication for distributed estimation in sensor networks IEEE Trans Inform Theory 53 10 2007 3629 3653
18. Davenport MA, Wakin MB, Baraniuk RG. Detection and estimation with compressive measurements. Tech. Rep, Dept. of ECE, Rice University, 2006. p. 3-13.
19. Haupt Jarvis, Robert Nowak. Compressed sampling for signal detection. In: IEEE international conference on acoustics, speech and signal processing (ICASSP), Honolulu, Hawaii, April 2007. p. 1509-15.
20. Marco F. Duarte, Mark A. Davenport, Michael B. Wakin, Richard G. Baraniuk. Sparse signal detection from incoherent projection. In: IEEE int. conf. on acoustics, speech, and signal processing (ICASSP), Toulouse, France, May 2006. p. 305-8.
21. Meng Jia, Husheng Li, Zhu Han, Sparse event detection in wireless sensor networks using compressive sensing. In: CISS 2009, 43rd annual conference on information sciences and systems, 2009. IEEE; 2009. p. 181-5.
22. W. Yanxue, X. Jiawei, M. Qiuyun, and H. Shuilong Compressed sparse time-frequency feature representation via compressive sensing and its applications in fault diagnosis Measurement 2015
23. Xuefeng Chen, Zhaohui Du, Jimeng Li, Xiang Li, and Han Zhang Compressed sensing based on dictionary learning for extracting impulse components Signal Process 96 2014 94 109
24. H. Tang, J. Chen, and G. Dong Sparse representation based latent components analysis for machinery weak fault detection Mech Syst Signal Process 46 2 2014 373 388
25. H.R. Yang, C. Zhang, D.W. Ding, and S. Wei The theory of compressed sensing and reconstruction algorithm Acta Electron Sinica 39 1 2011 142 148
26. Candès EJ. Compressive sampling. In: Proceedings of the international congress of mathematicians. vol. 3; 2006. p. 1433-52.
27. J. Wright, A.Y. Yang, A. Ganesh, S.S. Sastry, and Ma Yi Robust face recognition via sparse representation IEEE Trans Pattern Anal Mach Intell 31 2 2009 210 227
28. G. Hennenfent, and F.J. Herrmann Simply denoise: wavefield reconstruction via jittered under sampling Geophysics 73 3 2008 V19 V28
29. S.G. Mallat, and Z. Zhang Matching pursuits with time-frequency dictionaries IEEE Trans Signal Process 41 12 1993 3397 3415
30. Z. Zhipeng, C. Yigang, and C. Xiaofang Sparse representation of signals based on wavelet domain wiener filtering J Appl Sci 30 6 2012 1
31. R. Baraniuk Compressive sensing IEEE Signal Process Mag 24 4 2007
32. G.M. Shi, D.H. Liu, D.H. Gao, Z. Liu, J. Lin, and L.J. Wang Advances in theory and application of compressed sensing Acta Electron Sinica 37 5 2009 1070 1081
33. W. Dai, and O. Milenkovic Subspace pursuit for compressive sensing signal reconstruction IEEE Trans Inform Theory 55 5 2009 2230 2249