A new and effective method of bearing fault diagnosis using wavelet packet transform combined with support vector machine

Journal of Computers

Volumn 6, Issue 11, 2011, Pages 2502-2509

  Xu, Yun Jie ^a   Xiu, Shu Dong ^a  

^a ZHEJIANG A F UNIVERSITY   (China)

Author keywords

Bearing system; Fault diagnosis; Feature extraction; Support vector machine; Wavelet packet transform

Indexed keywords

BEARING FAULT DIAGNOSIS; BEARING SYSTEMS; DECORRELATIONS; DIFFERENT FREQUENCY; FREQUENCY DOMAINS; INTERNAL FAULTS; RADIAL BASIS FUNCTIONS; RUNNING CONDITIONS; SHANNON ENTROPY; SUPPORT VECTOR; TESTING SIGNAL; VECTOR MACHINES; WAVELET COEFFICIENTS; WAVELET DENOISING; WAVELET PACKET; WAVELET PACKET TRANSFORMS;

BEARINGS (STRUCTURAL); EIGENVALUES AND EIGENFUNCTIONS; FAULT DETECTION; FEATURE EXTRACTION; FREQUENCY BANDS; FREQUENCY DOMAIN ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; VECTORS; VIBRATION ANALYSIS;

WAVELET TRANSFORMS;

EID: 80054726353     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.6.11.2502-2509     Document Type: Article

References (15)

1. Gong huan-chun, "Fault identification in gearbox based on Elman neural network, " Lifting the transport machinery. Vol. 5, pp.70-73, 2009.
2. Yong Zhang, Xiao-Dan Liu, Fu-Ding Xie, Ke-Qiu Li, "Fault classifier of rotating machinery based on weighted support vector data description, " Expert Systems with Applications. vol.36, no.4, pp.7928-7932, 2009.
3. Ignacio Yélamos, Gerard Escudero, Moisès Graells, Luis Puigjaner, "Performance assessment of a novel fault diagnosis system based on support vector machines, " Computers & Chemical Engineering. Expert Systems with Applications. vol.33, no.1, pp.244-255, 2009.
4. Sami Ekici, "Classification of power system disturbances using support vector machines, " Expert Systems with Applications. vol.36, no.6, pp.9859-9868, 2009.
5. Zhu Yong-sheng, Zhang You-yun, "The study on some problems of support vector classifier, " Computer engineering and applications. vol.11, no.13, pp.36-38, 2003.
6. Cen Xing-hui, Xiong Xiao-yan, "Fault diagnosis of ball bearing based on wavelet and radial bas is function neural networks, " Mechanical engineering & automation. vol.134, no.1, pp. 13-15, 2006.
7. Wang Guo-feng, Wang Zi-liang, "Accurate diagnosis of roller bearings based on wavelet packet and RBF neural networks, " Journal of university of science and technology Beijing. vol.26, no.2, pp.184-187, 2004.
8. Pentersen J C, "Asphalt oxidation-an overview including a new model for oxidation proposing that physicochemical factors dominate the oxidation kinetics, " Fuel Sci. and Techno1. vol.11, no.1, pp.57-87, 1993.
9. Jian-Da Wu, Chiu-Hong Liu, "An expert system for fault diagnosis in internal combustion engines using WPT and NN, " Expert systems with applications Vol. 36 no. (3), pp.4278-4286, 2009.
10. Lee, C.S.; Lee, C.K.; Yoo, K.Y. "New lifting based structure for undecimated wavelet transform. Electron". Lett, Vol. 36, pp.1894-1895, 2000.
11. Chih-Wei Hsu, Chih-Jen Lin. "A comparison of methods for multi-class support vector machines". IEEE trans. On neural networks, Vol. 13 no. (2), pp.415-425, 2002.
12. Yun-jie Xu. "Fault Diagnosis for Roller bearings Based on Genetic-SVM Classifier". Advanced Materials Research Vols. 199-200, pp.620-624, 2011.
13. Yun-jie Xu, Shu-Dong Xiu. "Accurate Diagnosis of Rolling Bearing Based on Wavelet Packet and Geneticsupport Vector Machine", 2010 International Conference on Electrical and Control Engineering vol.01, pp.5589-5591,2010.
14. Claypoole, R.L.; Baraniuk, R.G.; Nowak, R.D. "Adaptive wavelet transforms via lifting". In Proceedings of 2010 IEEE International Conference on Acoustics Speech and Signal Processing(ICASSP), Seattle, WA, USA, May 12-15; pp. 1513-1516, 1998.
15. Duan, C.D. "Research on Fault Diagnosis Techniques Using Second Generation Wavelet Transform". College of Mechanical Engineering, Xi'an Jiaotong University: Xi'an, Shaanxi, pp. 103-105, 2004.