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Volumn 305, Issue 1, 2011, Pages

Research on bearing life prediction based on support vector machine and its application

Author keywords

[No Author keywords available]

Indexed keywords

BEARINGS (MACHINE PARTS); DAMAGE DETECTION; FORECASTING; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 80052059189     PISSN: 17426588     EISSN: 17426596     Source Type: Conference Proceeding    
DOI: 10.1088/1742-6596/305/1/012028     Document Type: Conference Paper
Times cited : (53)

References (9)
  • 1
    • 58049182562 scopus 로고    scopus 로고
    • Robust bearing performance degradation assessment method based on improved wavelet packet-support vector data description
    • Yuna P Jin Ch and Lei G 2009 Robust bearing performance degradation assessment method based on improved wavelet packet-support vector data description Mechanical Syst. Signal Processing 23 669-81
    • (2009) Mechanical Syst. Signal Processing , vol.23 , pp. 669-681
    • Yuna, P.1    Jin, Ch.2    Lei, G.3
  • 2
    • 2942659638 scopus 로고    scopus 로고
    • Residual Life Predictions from Vibration-Based Degradation Signals: A Neural Network Approach
    • Nagi G Mark L R Liu and Vijay P 2004 Residual Life Predictions From Vibration-Based Degradation Signals: A Neural Network Approach IEEE Trans. Industrial Electronics 51 694-70
    • (2004) IEEE Trans. Industrial Electronics , vol.51 , pp. 694-670
    • Nagi, G.1    Mark, L.R.2    Liu3    Vijay, P.4
  • 3
    • 33749663808 scopus 로고    scopus 로고
    • Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods
    • Runqing H Lifeng X and Xinglin L 2007 Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods Mechanical Syst. Signal Processing 21 193-207
    • (2007) Mechanical Syst. Signal Processing , vol.21 , pp. 193-207
    • Runqing, H.1    Lifeng, X.2    Xinglin, L.3
  • 5
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Alex J S and Bernhard S 2004 A tutorial on support vector regression Statistics computing 14 199-222
    • (2004) Statistics Computing , vol.14 , pp. 199-222
    • Alex, J.S.1    Bernhard, S.2
  • 7
    • 10244259183 scopus 로고    scopus 로고
    • PCA-Based Feature Selection Scheme for Machine Defect Classification
    • Arnaz M and Robert X G 2004 PCA-Based Feature Selection Scheme for Machine Defect Classification IEEE Trans. Instrum. Meas. 53 1517-25
    • (2004) IEEE Trans. Instrum. Meas. , vol.53 , pp. 1517-1525
    • Arnaz, M.1    Robert, X.G.2
  • 9
    • 79955828997 scopus 로고    scopus 로고
    • IMS, University of Cincinnati, NASA Ames Prognostics Data Repository NASA Ames, Moffett Field, CA
    • Jie L and Hai Q 2007 Rexnord Technical Services, 'Bearing Data Set', IMS, University of Cincinnati, NASA Ames Prognostics Data Repository, , CA.
    • (2007) Rexnord Technical Services, 'Bearing Data Set'
    • Jie, L.1    Hai, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.