Application of support vector machine based on pattern spectrum entropy in fault diagnostics of bearings

2010 Prognostics and System Health Management Conference, PHM '10

Volumn , Issue , 2010, Pages

  Hao, Rujiang ^a   Feng, Zhipeng ^b   Chu, Fulei ^c  

^a SHIJIAZHUANG TIEDAO UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^c TSINGHUA UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BARYCENTERS; EXPERIMENTAL TEST; FAULT DIAGNOSIS; FAULT DIAGNOSTICS; FEATURE VECTORS; MORPHOLOGICAL OPENING; MORPHOLOGICAL PATTERN SPECTRUMS; MULTI SCALE ANALYSIS; MULTICLASS SVM; MULTISCALES; NOVEL PATTERNS; PATTERN SPECTRUM; ROLLING ELEMENT BEARING; SHAPE CHARACTERISTICS; STRUCTURING ELEMENT; SVM ALGORITHM; TRAINING SAMPLE; WORKING CONDITIONS;

BEARINGS (STRUCTURAL); FAILURE ANALYSIS; SUPPORT VECTOR MACHINES;

SPECTRUM ANALYSIS;

EID: 77950671287     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PHM.2010.5413481     Document Type: Conference Paper

References (10)

1. Tandon N, Choudhury A. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribology International, 1999, 32:469-480. (Pubitemid 30550533)
2. Rubini R. and Meneghetti U. Application of the envelop and wavelet transform analyses for the diagnosis of incipient faults in ball bearings. Mechanical Systems and Signal Processing, 2001, 15: 287-302. (Pubitemid 32409308)
3. Qiuhua Du and Shunian Yang. Application of the EMD method in the vibration analysis of ball bearings. Mechanical Systems and Signal Processing, 2007, 21: 2634-2644.
4. Z.K. Peng, Peter W. Tsea, F.L. Chu. A comparison study of improved Hilbert-Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing. Mechanical Systems and Signal Processing, 2005, 19: 974-988. (Pubitemid 40612481)
5. L.B. Jack, A.K. Nandi. Support vector machines for detection and characterization of rolling element bearing faults. Journal of Mechanical Engineering Science, 2001, 9:1065-1074.
6. Sheng-Fa Yuan, Fu-Lei Chu. Support vector machinesbased fault diagnosis for turbo-pump rotor. Mechanical Systems and Signal Processing, 2006, 20: 939-952. (Pubitemid 43121167)
7. D.J. Sebald, J.A. Bucklew. Support vector machine techniques for nonlinear equalization. IEEE Transactions on Signal Processing, 2000, 11:3217-3226. (Pubitemid 32027347)
8. Maragos P. Morphological signal and image processing. The digital Signal Processing Handbook, pp. 74.1-74.26. Boca Raton, FL:CRC Press, 1998.
9. Maragos P. and Schafer R. Morphological filters -Part I: their set-theoretic analysis and relations to linear shift invariant filters. IEEE Transactions on Acoustics, Speech and Signal Processing, 1987, 35:1153-1169. (Pubitemid 17651298)
10. V.N. Vapnik, The Nature of Statistical Learning Theory, Springer, New York, 1999.