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Volumn 24, Issue 1, 2007, Pages 64-68

Nonlinear time series fault prediction based on clustering and support vector machines

Author keywords

Fault prediction; K means clustering; Support vector regression; Time series prediction

Indexed keywords

FAULT PREDICTION; K-MEANS CLUSTERING; SUPPORT VECTOR REGRESSION; TIME SERIES PREDICTION;

EID: 34247364648     PISSN: 10008152     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (10)
  • 1
    • 0345920426 scopus 로고    scopus 로고
    • The use of ARIMA models for reliability forecasting and analysis
    • HO S L, XIE M. The use of ARIMA models for reliability forecasting and analysis[J]. Computer and Industrial Engineering, 1998, 35(1-2): 213-216.
    • (1998) Computer and Industrial Engineering , vol.35 , Issue.1-2 , pp. 213-216
    • Ho, S.L.1    Xie, M.2
  • 2
    • 0032643704 scopus 로고    scopus 로고
    • Prediction of machine deterioration using vibration based fault trends and recurrent neural networks
    • TSE P W, ATHERTON D P. Prediction of machine deterioration using vibration based fault trends and recurrent neural networks[J]. J of Vibration and Acoustics, 1999, 121(7): 355-362.
    • (1999) J of Vibration and Acoustics , vol.121 , Issue.7 , pp. 355-362
    • Tse, P.W.1    Atherton, D.P.2
  • 3
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: A review
    • JAIN A K, MURTY M N. Data clustering: a review[J]. ACM Computing Surveys, 1999, 31(3): 264-323.
    • (1999) ACM Computing Surveys , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.K.1    Murty, M.N.2
  • 8
    • 0037844881 scopus 로고    scopus 로고
    • Linear dependency between ε and the input noise in ε-support vector regression
    • JAMES T K, IVOR W T. Linear dependency between ε and the input noise in ε-support vector regression[J]. IEEE Trans on Neural Networks, 2003, 14(5): 544-553.
    • (2003) IEEE Trans on Neural Networks , vol.14 , Issue.5 , pp. 544-553
    • James, T.K.1    Ivor, W.T.2
  • 9
    • 0002941010 scopus 로고    scopus 로고
    • Support vector machines for dynamic reconstruction of a chaotic system
    • Cambridge: MIT Press
    • MATTERA D, HAYKIN S. Support vector machines for dynamic reconstruction of a chaotic system[C]//Advances in Kernel Methods-Support Vector Learning. Cambridge: MIT Press, 1999: 243-254.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 243-254
    • Mattera, D.1    Haykin, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.