메뉴 건너뛰기




Volumn , Issue , 2005, Pages 153-158

Detection and classification of rolling-element bearing faults using support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; LEARNING SYSTEMS; OPTIMIZATION;

EID: 33749057295     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2005.1532891     Document Type: Conference Paper
Times cited : (30)

References (12)
  • 1
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, pp. 1-43, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 1-43
    • Burges, C.J.C.1
  • 2
    • 0035153670 scopus 로고    scopus 로고
    • Support vector machines for detection and characterization of rolling element bearing faults
    • L. B. Jack and A. K. Nandi, "Support vector machines for detection and characterization of rolling element bearing faults," Proceedings of Institution of Mechanical Engineers, Part C, vol. 215, pp. 1065-1074, 2002.
    • (2002) Proceedings of Institution of Mechanical Engineers, Part C , vol.215 , pp. 1065-1074
    • Jack, L.B.1    Nandi, A.K.2
  • 3
    • 0345978376 scopus 로고    scopus 로고
    • Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms
    • L. B. Jack and A. K. Nandi, "Fault detection using support vector machines and artificial neural networks, augmented by genetic algorithms," Mechanical Systems and Signal Processing, vol. 16, pp. 373-390, 2002.
    • (2002) Mechanical Systems and Signal Processing , vol.16 , pp. 373-390
    • Jack, L.B.1    Nandi, A.K.2
  • 4
    • 0037345899 scopus 로고    scopus 로고
    • Artificial neural network based fault diagnostics of rolling element bearings using time-domain features
    • B. Samanta and K. R. Al-Balushi, "Artificial neural network based fault diagnostics of rolling element bearings using time-domain features," Mechanical Systems and Signal Processing, vol. 17, pp. 317-328, 2003.
    • (2003) Mechanical Systems and Signal Processing , vol.17 , pp. 317-328
    • Samanta, B.1    Al-Balushi, K.R.2
  • 6
    • 0004322632 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines
    • J. Platt, "Sequential minimal optimization: A fast algorithm for training support vector machines," Microsoft Research Technical Report MSR-TR-98-14, 1998.
    • (1998) Microsoft Research Technical Report , vol.MSR-TR-98-14
    • Platt, J.1
  • 7
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • J. Platt, "Fast training of support vector machines using sequential minimal optimization," Advances in Kernel Methods - Support Vector Learning, pp. 185-208, 1999.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 11
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with gaussian kernel
    • S. S. Keerthi and C. J. Lin, "Asymptotic behaviors of support vector machines with gaussian kernel," Neural Computation, vol. 15, pp. 1667-1689, 2003.
    • (2003) Neural Computation , vol.15 , pp. 1667-1689
    • Keerthi, S.S.1    Lin, C.J.2
  • 12
    • 0003753533 scopus 로고
    • Massachusetts, USA
    • MATHWORKS INC., MATLAB Reference Guide, Massachusetts, USA, 1995.
    • (1995) MATLAB Reference Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.