메뉴 건너뛰기




Volumn 31, Issue 1, 2010, Pages 51-55

Fault detection and diagnosis of chemical process based on an improved multi-scale KPCA

Author keywords

Contribution plot; Fault detection; Fault diagnosis; Feature vector selection; Kernel principal component analysis; Wavelet transform

Indexed keywords

CONTRIBUTION PLOT; CONTRIBUTION PLOTS; FAULT DIAGNOSIS; FEATURE VECTOR SELECTION; KERNEL PRINCIPAL COMPONENT ANALYSIS;

EID: 77949890140     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (10)

References (12)
  • 1
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis. Part III: Process history based methods
    • VENKATASUBRAMANIAN V, RENGASWAMY R, YIN K, et al. A review of process fault detection and diagnosis part III: Process history based methods[J]. Computers and Chemical Engineering, 2003, 27(3): 327-346.
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Yin, K.3
  • 2
    • 67649195571 scopus 로고    scopus 로고
    • Monitoring method for batch process based on ICA-MPCA
    • XIAO Y W, XU B G. Monitoring method for batch process based on ICA-MPCA[J]. Chinese Journal of Scientific Instrument, 2009, 30(5): 990-996.
    • (2009) Chinese Journal of Scientific Instrument , vol.30 , Issue.5 , pp. 990-996
    • Xiao, Y.W.1    Xu, B.G.2
  • 3
    • 0037084628 scopus 로고    scopus 로고
    • Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem
    • KANO M, NAGAO K, HASEBE S, et al. Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem[J]. Computers and Chemical Engineering, 2002, 26: 161-174.
    • (2002) Computers and Chemical Engineering , vol.26 , pp. 161-174
    • Kano, M.1    Nagao, K.2    Hasebe, S.3
  • 4
    • 12344295457 scopus 로고    scopus 로고
    • Adaptive multiscale principal component analysis for on-line monitoring of a sequencing batch reactor
    • LEE D S, PARK J M, VANROLLEGHEM P A. Adaptive multiscale principal component analysis for on-line monitoring of a sequencing batch reactor[J]. Journal of Biotechnology, 2005, 116(2): 19-210.
    • (2005) Journal of Biotechnology , vol.116 , Issue.2 , pp. 19-210
    • Lee, D.S.1    Park, J.M.2    Vanrolleghem, P.A.3
  • 5
    • 2442495227 scopus 로고    scopus 로고
    • Fault detection of batch processes using multiway kernel principal component analysis
    • LEE J M, YOO C K, LEE I B. Fault detection of batch processes using multiway kernel principal component analysis[J]. Computers and Chemical Engineering, 2004, 28(9): 1837-1847.
    • (2004) Computers and Chemical Engineering , vol.28 , Issue.9 , pp. 1837-1847
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.B.3
  • 6
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • SCHOLKOPF B, SMOLA A J, MULLER K. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 1998, 10: 1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.3
  • 7
    • 34250018610 scopus 로고    scopus 로고
    • Fault diagnosis of complex chemical process based on KPCA-SVC
    • LIU A L, YUAN X Y, YU J S. Fault diagnosis of complex chemical process based on KPCA-SVC[J]. Chinese Journal of Scientific Instrument, 2007, 28(5): 871-874.
    • (2007) Chinese Journal of Scientific Instrument , vol.28 , Issue.5 , pp. 871-874
    • Liu, A.L.1    Yuan, X.Y.2    Yu, J.S.3
  • 8
    • 77949907666 scopus 로고    scopus 로고
    • An integrated identification method based on KPCA-PNN for complex industrial process
    • BO C M, WANG Z Q, ZHANG G M. An integrated identification method based on KPCA-PNN for complex industrial process[J]. Information and Control, 2009, 38(1): 98-109.
    • (2009) Information and Control , vol.38 , Issue.1 , pp. 98-109
    • Bo, C.M.1    Wang, Z.Q.2    Zhang, G.M.3
  • 9
    • 0442310782 scopus 로고    scopus 로고
    • Mspa based on process information denoised with wavelet transform and its application to chemical process monitoring
    • CHEN G J, LIANG J, QIAN J X. Mspa based on process information denoised with wavelet transform and its application to chemical process monitoring[J]. Journal of Chemical Industry and Engineering, 2003, 54(10): 1478-1481.
    • (2003) Journal of Chemical Industry and Engineering , vol.54 , Issue.10 , pp. 1478-1481
    • Chen, G.J.1    Liang, J.2    Qian, J.X.3
  • 10
    • 0242383468 scopus 로고    scopus 로고
    • Feature vector selection and projection using kernels
    • BAUDAT G, ANOUAR F, CHOI S W, et al. 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    Choi, S.W.3
  • 12
    • 0036466502 scopus 로고    scopus 로고
    • Dynamic process fault monitoring based on neural network and PCA
    • CHEN J H, LIAO C M. Dynamic process fault monitoring based on neural network and PCA[J]. Journal of Process Control, 2002, 12(2): 277-289.
    • (2002) Journal of Process Control , vol.12 , Issue.2 , pp. 277-289
    • Chen, J.H.1    Liao, C.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.