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Volumn 4, Issue , 2004, Pages 3653-3657

NN-PLS based on-line component soft-analyzer for tennessee eastman process

Author keywords

NN PLS (neural network based PLS); Orthogonal signal correction (OSC); Partial least squares (PLS) algorithm; Tennessee eastman process (TEP)

Indexed keywords

NN-PLS (NEURAL-NETWORK BASED PLS); ORTHOGONAL SIGNAL CORRELATION (OSC); PARTIAL LEAST SQUARES (PLS) ALGORITHM; TENNESSEE EASTMAN PROCESS (TEP);

EID: 4444311201     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (12)
  • 1
    • 0027561446 scopus 로고
    • A plant-wide industrial process control problem
    • J. J. Downs, E F. Vogel "A plant-wide industrial process control problem", Computers & Chemical Engineering, vol. 17, no. 3, pp. 245-255, 1993.
    • (1993) Computers & Chemical Engineering , vol.17 , Issue.3 , pp. 245-255
    • Downs, J.J.1    Vogel, E.F.2
  • 2
    • 0029256836 scopus 로고
    • Plant-wide control of the tennessee eastman problem
    • P. R. Lyman, C. Georgakist, "Plant-wide Control of the Tennessee Eastman Problem", Computers & Chemical Engineering, vol. 19, no. 3, pp., 321-331, 1995.
    • (1995) Computers & Chemical Engineering , vol.19 , Issue.3 , pp. 321-331
    • Lyman, P.R.1    Georgakist, C.2
  • 3
    • 0028431355 scopus 로고
    • Base control for the Tennessee Eastman problem
    • T. J. McAvoy, N. Ye, "Base control for the Tennessee Eastman problem", Computers & Chemical Engineering., vol. 18, no. 5, pp. 383-413,1994.
    • (1994) Computers & Chemical Engineering. , vol.18 , Issue.5 , pp. 383-413
    • McAvoy, T.J.1    Ye, N.2
  • 4
    • 0036749093 scopus 로고    scopus 로고
    • Towards distributed diagnosis of the Tennessee Eastman process benchmark
    • Jun Chen, John Howell, "Towards distributed diagnosis of the Tennessee Eastman Process benchmark", Control Engineering Practice, vol. 10, pp. 971-987, 2002.
    • (2002) Control Engineering Practice , vol.10 , pp. 971-987
    • Chen, J.1    Howell, J.2
  • 5
    • 0037084628 scopus 로고    scopus 로고
    • Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem
    • Manabu Kano, Koji Nagao, Shinji, Hasebe, et. al.. "Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem", Computers & Chemical Engineering, vol.26, pp.l61-174, 2002,
    • (2002) Computers & Chemical Engineering , vol.26
    • Kano, M.1    Nagao, K.2    Shinji3    Hasebe4
  • 6
    • 0033929205 scopus 로고    scopus 로고
    • On-line optimisation of the Tenessee Eastman challenge problem
    • P. M. Duvall, J.B. Riggs, "On-line optimisation of the Tenessee Eastman challenge problem", Journal of Process Control, vol. 10, pp.19-33, 2000.
    • (2000) Journal of Process Control , vol.10 , pp. 19-33
    • Duvall, P.M.1    Riggs, J.B.2
  • 7
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS algorithms for adaptive data modeling
    • S. J. Qin, "Recursive PLS algorithms for adaptive data modeling", Computers & Chemical Engineering., vol. 22, pp. 503-514, 1998.
    • (1998) Computers & Chemical Engineering. , vol.22 , pp. 503-514
    • Qin, S.J.1
  • 8
    • 85162676194 scopus 로고
    • PLS regression methods
    • A. Hoskuldsson, "PLS regression methods", Chemometrics, vol. 2, pp. 211-228, 1988.
    • (1988) Chemometrics , vol.2 , pp. 211-228
    • Hoskuldsson, A.1
  • 9
    • 11144325691 scopus 로고
    • Partial least squares regression: A tutorial
    • P.Geladi, B. R. Kowalski, "Partial least squares regression: a tutorial", Anal. Chem. Acta, vol. 185, pp.l-17, 1986.
    • (1986) Anal. Chem. Acta , vol.185
    • Geladi, P.1    Kowalski, B.R.2
  • 10
    • 0024034712 scopus 로고
    • Partial least squares methods for spectral analysis: 1. Relation to other quantitative calibration methods and the extraction of qualitative information. 2. Application to simulated and glass spectral data
    • D. M. Haaland, E. V. Thomas, "Partial least squares methods for spectral analysis: 1. Relation to other quantitative calibration methods and the extraction of qualitative information. 2. Application to simulated and glass spectral data", Anal. Chem. vol.60, pp. 1193-1208, 1988.
    • (1988) Anal. Chem. , vol.60 , pp. 1193-1208
    • Haaland, D.M.1    Thomas, E.V.2
  • 11
    • 0033544443 scopus 로고    scopus 로고
    • Non-linear projection to latent structures revisited (the neural network PLS algorithm)
    • G. Baffi, E.B. Martin, A.J. Morris, "Non-linear projection to latent structures revisited (the neural network PLS algorithm)", Computers and Chemical Engineering, vol. 23, pp. 1293-1307, 1999.
    • (1999) Computers and Chemical Engineering , vol.23 , pp. 1293-1307
    • Baffi, G.1    Martin, E.B.2    Morris, A.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.