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Volumn 20, Issue 12, 2005, Pages

KPCA based on feature samples for fault detection

Author keywords

Fault detection; Feature extraction; Feature space; Kernel principal component analysis

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FAILURE ANALYSIS; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS;

EID: 31844449819     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (15)

References (8)
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  • 2
    • 0242539900 scopus 로고    scopus 로고
    • On using prototype reduction schemes to optimize kernel-based nonlinear subspace methods
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    • Kim, S.-W.1    John, O.B.2
  • 3
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    • Feature vector selection and projection using kernels
    • Baudat G, Anouar F. Feature Vector Selection and Projection Using Kernels[J]. Neurocomputing, 2003, 55(1-2): 21-38.
    • (2003) Neurocomputing , vol.55 , Issue.1-2 , pp. 21-38
    • Baudat, G.1    Anouar, F.2
  • 4
    • 0346911568 scopus 로고    scopus 로고
    • Nonlinear process monitoring using kernel principal component analysis
    • Lee Jong-Min, Chang Kvoo Yoo, Sang Wook Choi, et al. Nonlinear Process Monitoring Using Kernel Principal Component Analysis[J]. Chemical Engineering Science, 2004, 59(1): 223-234.
    • (2004) Chemical Engineering Science , vol.59 , Issue.1 , pp. 223-234
    • Lee, J.-M.1    Chang, K.Y.2    Sang, W.C.3
  • 5
    • 0442310886 scopus 로고    scopus 로고
    • Kernel principal component analysis and its application in gear fault diagnosis
    • Li W H, Liao G L, Shi T L. Kernel Principal Component Analysis and Its Application in Gear Fault Diagnosis[J]. Chinese J of Mechanical Engineering, 2003, 39(8): 65-70.
    • (2003) Chinese J of Mechanical Engineering , vol.39 , Issue.8 , pp. 65-70
    • Li, W.H.1    Liao, G.L.2    Shi, T.L.3
  • 6
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    • A plant-wide industrial process control problem
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    • (1993) Computers and Chemical Engineering , vol.17 , Issue.3 , pp. 245-255
    • Downs, J.J.1    Vogel, E.F.2
  • 7
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    • Plant-wide control of the Tennessee Eastman problem
    • Lyman P R, Georgakis C. Plant-wide Control of the Tennessee Eastman Problem[J]. Computers and Chemical Engineering, 1995, 19(3): 321-331.
    • (1995) Computers and Chemical Engineering , vol.19 , Issue.3 , pp. 321-331
    • Lyman, P.R.1    Georgakis, C.2
  • 8
    • 0037411806 scopus 로고    scopus 로고
    • Exploring process data with the use of robust outlier detection algorithms
    • Leo H Chiang, Randy J Pell, Mary Beth Seasholtz. Exploring Process Data with the Use of Robust Outlier Detection Algorithms[J]. J of Process Control, 2003, 13(5): 437-449.
    • (2003) J of Process Control , vol.13 , Issue.5 , pp. 437-449
    • Chiang, L.H.1    Pell, R.J.2    Seasholtz, M.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.