메뉴 건너뛰기




Volumn 8, Issue 4, 2005, Pages 26-34

Virtual instruments in refineries

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; GAS EMISSIONS; INDUSTRIAL PLANTS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MEASUREMENTS; NITROGEN OXIDES; PROCESS CONTROL; STATISTICAL METHODS;

EID: 27844534887     PISSN: 10946969     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIM.2005.1518619     Document Type: Article
Times cited : (33)

References (37)
  • 2
    • 0002111519 scopus 로고
    • "Soft-sensors for process estimation and inferential control"
    • M.T. Tham, G.A. Montague, A.J. Morris, and P. Lant, "Soft-sensors for process estimation and inferential control," J. Process Control, vol. 1, pp. 3-14. 1991.
    • (1991) J. Process Control , vol.1 , pp. 3-14
    • Tham, M.T.1    Montague, G.A.2    Morris, A.J.3    Lant, P.4
  • 3
    • 0034661658 scopus 로고    scopus 로고
    • "Soft sensor development for online bioreactor state estimation"
    • A.J. de Assis and R.M. Filho, "Soft sensor development for online bioreactor state estimation," Comput. Chem. Eng., vol. 24, no. 2-7, pp. 1099-1103, 2000.
    • (2000) Comput. Chem. Eng. , vol.24 , Issue.2-7 , pp. 1099-1103
    • Assis, A.J.1    Filho, R.M.2
  • 4
    • 0034661135 scopus 로고    scopus 로고
    • "A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns"
    • S. Park and C. Han, "A nonlinear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns," Comput. Chem. Eng., vol. 24, no. 2-7, pp. 871-877, 2000.
    • (2000) Comput. Chem. Eng. , vol.24 , Issue.2-7 , pp. 871-877
    • Park, S.1    Han, C.2
  • 5
    • 0032041454 scopus 로고    scopus 로고
    • "Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor"
    • H.B. Su, L.T. Fan, and J.R. Schlup, "Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor," Eng. Applicat. Artificial Intell. vol. 11, no. 2, pp. 293-306, 1998.
    • (1998) Eng. Applicat. Artificial Intell. , vol.11 , Issue.2 , pp. 293-306
    • Su, H.B.1    Fan, L.T.2    Schlup, J.R.3
  • 6
    • 11144284581 scopus 로고    scopus 로고
    • "Soft sensors for product quality monitoring in debutanizer distillation columns"
    • Apr
    • L. Fortuna, S. Graziani, and M.G. Xibilia, "Soft sensors for product quality monitoring in debutanizer distillation columns," Control Eng. Pract., vol. 13, no. 4, pp. 499-508, Apr. 2005.
    • (2005) Control Eng. Pract. , vol.13 , Issue.4 , pp. 499-508
    • Fortuna, L.1    Graziani, S.2    Xibilia, M.G.3
  • 7
    • 0347379723 scopus 로고    scopus 로고
    • "Soft analyzers for sulfur recovery unit"
    • Dec
    • L. Fortuna, A. Rizzo, M. Sinatra, and M.G. Xibilia, "Soft analyzers for sulfur recovery unit," Control Eng. Pract., vol. 11, no. 12, pp. 1491-1500, Dec. 2003.
    • (2003) Control Eng. Pract. , vol.11 , Issue.12 , pp. 1491-1500
    • Fortuna, L.1    Rizzo, A.2    Sinatra, M.3    Xibilia, M.G.4
  • 10
    • 0034207548 scopus 로고    scopus 로고
    • "Neural network based fault diagnosis using unmeasurable inputs"
    • S.H. Yang, B.H. Chen, and X.Z. Wang, "Neural network based fault diagnosis using unmeasurable inputs," Eng. Applicat. Artificial Intell., vol. 13, no. 3, pp. 345-356, 2000.
    • (2000) Eng. Applicat. Artificial Intell. , vol.13 , Issue.3 , pp. 345-356
    • Yang, S.H.1    Chen, B.H.2    Wang, X.Z.3
  • 11
    • 0024770320 scopus 로고
    • "Soft-sensing: A solution to the problem of measurement delays"
    • M.T. Tham, A.J. Morris, and G.A. Montague, "Soft-sensing: A solution to the problem of measurement delays," Chem. Eng. Res. Des., vol. 67, pp. 567-554, 1989.
    • (1989) Chem. Eng. Res. Des. , vol.67 , pp. 554-567
    • Tham, M.T.1    Morris, A.J.2    Montague, G.A.3
  • 12
    • 0032182312 scopus 로고    scopus 로고
    • "Improvement of de-NOx device control performance using a software sensor"
    • S. Matsumura, T. Iwahara, K. Ogata, S. Fujii, and M. Susuki, "Improvement of de-NOx device control performance using a software sensor," Control Eng. Practice, vol. 6, no. 10, pp. 1267-1276, 1998.
    • (1998) Control Eng. Practice , vol.6 , Issue.10 , pp. 1267-1276
    • Matsumura, S.1    Iwahara, T.2    Ogata, K.3    Fujii, S.4    Susuki, M.5
  • 13
    • 0033544443 scopus 로고    scopus 로고
    • "Nonlinear projection to latent structures revisited (the neural network PLS algorithm)"
    • G. Baffi, E.B. Martin, and A.J. Morris, "Nonlinear projection to latent structures revisited (the neural network PLS algorithm)," Comput. Chem. Eng., vol. 23, no. 9, pp. 1293-1307, 1999.
    • (1999) Comput. Chem. Eng. , vol.23 , Issue.9 , pp. 1293-1307
    • Baffi, G.1    Martin, E.B.2    Morris, A.J.3
  • 14
    • 4444289955 scopus 로고    scopus 로고
    • "Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis"
    • E. Zamprogna, M. Barolo, D.E. Seborg, "Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis," J. Process Control, vol. 15, no. 1, pp 39-52, 2005.
    • (2005) J. Process Control , vol.15 , Issue.1 , pp. 39-52
    • Zamprogna, E.1    Barolo, M.2    Seborg, D.E.3
  • 15
    • 0036131934 scopus 로고    scopus 로고
    • "Comparative study of black-box and hybrid estimation methods in fed-batch fermentation"
    • S. James, R. Legge, and H. Budmann, "Comparative study of black-box and hybrid estimation methods in fed-batch fermentation," J. Process Control, vol. 12, no. 1, pp. 113-121, 2002.
    • (2002) J. Process Control , vol.12 , Issue.1 , pp. 113-121
    • James, S.1    Legge, R.2    Budmann, H.3
  • 16
    • 0031167776 scopus 로고    scopus 로고
    • "The concentration-estimation of inflammable gases with a semiconductor gas sensor utilizing neural networks and fuzzy inferecne"
    • B. Yea, T. Osaki, K. Sugahara, and R. Konishi, "The concentration-estimation of inflammable gases with a semiconductor gas sensor utilizing neural networks and fuzzy inferecne," Sens. Actuators B. Chem., vol. 41, no. 1-3, pp. 121-129, 1997.
    • (1997) Sens. Actuators B. Chem. , vol.41 , Issue.1-3 , pp. 121-129
    • Yea, B.1    Osaki, T.2    Sugahara, K.3    Konishi, R.4
  • 17
    • 0029895631 scopus 로고    scopus 로고
    • "Software sensors based on the grey-box modelling approach"
    • J. Cartensen, P. Harremoës, and R. Strube, "Software sensors based on the grey-box modelling approach," Wat, Sci, Tech., vol. 33, no. 1, pp. 117-126, 1996.
    • (1996) Wat. Sci. Tech. , vol.33 , Issue.1 , pp. 117-126
    • Cartensen, J.1    Harremoës, P.2    Strube, R.3
  • 18
    • 9944241272 scopus 로고    scopus 로고
    • "Statistical and computational intelligence techniques for inferencial model development: A comparative evaluation and a novel proposition for fusion"
    • K. Warne, G. Prasad, S. Rezvani, and L. Maguire, "Statistical and computational intelligence techniques for inferencial model development: A comparative evaluation and a novel proposition for fusion," Eng. Applicat. Artificial Intell., vol. 17, no. 8, pp. 871-885, 2004.
    • (2004) Eng. Applicat. Artificial Intell. , vol.17 , Issue.8 , pp. 871-885
    • Warne, K.1    Prasad, G.2    Rezvani, S.3    Maguire, L.4
  • 19
    • 0036805513 scopus 로고    scopus 로고
    • "Process analysis and abnormal, situation detection: From theory to practice"
    • Oct
    • T. Kourti, "Process analysis and abnormal, situation detection: from theory to practice," IEEE Control Syst. Mag., vol. 22, no. 5, pp. 10-25, Oct. 2002.
    • (2002) IEEE Control Syst. Mag. , vol.22 , Issue.5 , pp. 10-25
    • Kourti, T.1
  • 20
    • 0022011031 scopus 로고
    • "Input-output parametric models for nonlinear systems. Part I: Deterministic nonlinear systems"
    • I.J. Leontaritis and S.A. Billings, "Input-output parametric models for nonlinear systems. Part I: Deterministic nonlinear systems," Int. J. Control, vol. 41, no. 2, pp. 303-328, 1985.
    • (1985) Int. J. Control , vol.41 , Issue.2 , pp. 303-328
    • Leontaritis, I.J.1    Billings, S.A.2
  • 21
    • 0024631931 scopus 로고
    • "Representation of nonlinear systems: The NARMAX model"
    • S. Chen and S.A. Billings, "Representation of nonlinear systems: The NARMAX model," Int. J. Control, vol. 43, no. 5, pp. 1013-1032, 1989.
    • (1989) Int. J. Control , vol.43 , Issue.5 , pp. 1013-1032
    • Chen, S.1    Billings, S.A.2
  • 23
    • 0013379958 scopus 로고    scopus 로고
    • NIST/SEMATECH, [Online]. Available
    • NIST/SEMATECH, e-Handbook of Statistical Methods, 2002. [Online]. Available: http://www.itl.nist.gov/div898/handbook/
    • (2002) E-Handbook of Statistical Methods
  • 24
    • 0028543366 scopus 로고
    • "Training feedforward networks with the Marquardt algorithm"
    • M.T. Hagan and M. Menhaj, "Training feedforward networks with the Marquardt algorithm," IEEE Trans. Neural Networks, vol. 5, no. 6, pp. 989-993, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 25
    • 0025448276 scopus 로고
    • "Nonlinear systems identification using neural networks"
    • S. Chen, S.A. Billings, and P.M. Grant, "Nonlinear systems identification using neural networks," Int. J. Control, vol. 51, no. 6, pp. 1191-1214, 1990.
    • (1990) Int. J. Control , vol.51 , Issue.6 , pp. 1191-1214
    • Chen, S.1    Billings, S.A.2    Grant, P.M.3
  • 26
    • 0034095440 scopus 로고    scopus 로고
    • "Consider using 'soft analysers' to improve SRU control"
    • C.I. Quek, R. Balasubramanian, and G.P. Rangaiah, "Consider using 'soft analysers' to improve SRU control," Hydrocarbon Processing, vol. 79, no. 1, pp. 101-106, 2000.
    • (2000) Hydrocarbon Processing , vol.79 , Issue.1 , pp. 101-106
    • Quek, C.I.1    Balasubramanian, R.2    Rangaiah, G.P.3
  • 27
    • 27844450766 scopus 로고    scopus 로고
    • "Virtual instruments based on stacked neural networks to improve product quality monitoring in a refinery"
    • Ottawa, Canada, May
    • L. Fortuna, P. Giannone, S. Graziani, and M.G. Xibilia, "Virtual instruments based on stacked neural networks to improve product quality monitoring in a refinery," in Proc. IMTC/2005, Ottawa, Canada, May 2005, pp. 1889-1893.
    • (2005) Proc. IMTC/2005 , pp. 1889-1893
    • Fortuna, L.1    Giannone, P.2    Graziani, S.3    Xibilia, M.G.4
  • 28
    • 0026692226 scopus 로고
    • "Stacked generalization"
    • D.H. Wolpert, "Stacked generalization," Neural Networks, vol. 5, pp. 241-259, 1992. >
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 29
    • 0031171679 scopus 로고    scopus 로고
    • "Optimal linear combinations of neural networks"
    • S. Hashem, "Optimal linear combinations of neural networks," Neural Networks, vol. 10, no. 4, pp. 599-614, 1997.
    • (1997) Neural Networks , vol.10 , Issue.4 , pp. 599-614
    • Hashem, S.1
  • 30
    • 79960730919 scopus 로고    scopus 로고
    • "Fuzzy activated neural models for product quality monitoring in refineries"
    • Praga, June, to be published
    • L. Fortuna, S. Graziani, M.G. Xibilia, and N. Barbalace, "Fuzzy activated neural models for product quality monitoring in refineries," in Proc. IFAC/2005, Praga, June 2005, to be published.
    • (2005) Proc. IFAC/2005
    • Fortuna, L.1    Graziani, S.2    Xibilia, M.G.3    Barbalace, N.4
  • 31
    • 0022752513 scopus 로고
    • "Correlation based model validity tests for nonlinear models"
    • S.A. Billings and W.S.F. Voon, "Correlation based model validity tests for nonlinear models," Int. J. Control, vol. 44, no. 1, pp. 253-244, 1986.
    • (1986) Int. J. Control , vol.44 , Issue.1 , pp. 244-253
    • Billings, S.A.1    Voon, W.S.F.2
  • 33
    • 4644244414 scopus 로고    scopus 로고
    • "Improving monitoring of NOx emissions in refineries"
    • Como, Italy
    • S. Graziani, M.G. Xibilia, and N. Barbalace, "Improving monitoring of NOx emissions in refineries," in Proc. IEEE IMTC/2004, Como, Italy, 2004, vol. 1, pp. 594-597.
    • (2004) Proc. IEEE IMTC/2004 , vol.1 , pp. 594-597
    • Graziani, S.1    Xibilia, M.G.2    Barbalace, N.3
  • 34
    • 0028543366 scopus 로고
    • "Training feedforward networks with the Marquardt algorithm"
    • M.T. Hagan and M. Menhaj, "Training feedforward networks with the Marquardt algorithm," IEEE Trans. Neural Networks, vol. 5, no. 6, pp. 989-993, 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 35
    • 78049298143 scopus 로고    scopus 로고
    • Neural Network Toolbox
    • Neural Network Toolbox, The MathWorks.
    • The MathWorks
  • 36
    • 80053319889 scopus 로고    scopus 로고
    • Fuzzy Logic Toolbox
    • Fuzzy Logic Toolbox, The MathWorks.
    • The MathWorks
  • 37
    • 0003994186 scopus 로고    scopus 로고
    • Optimization Toolbox
    • Optimization Toolbox, The MathWorks.
    • The MathWorks


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.