Cross correlation analysis of residuals for the selection of the structure of Virtual Sensors in a refinery

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Volumn 1 2 VOLS, Issue , 2005, Pages 173-178

  Fortuna, L ^a   Graziani, S ^a   Xibilia, M G ^b  

^a UNIVERSITY OF CATANIA   (Italy)

^b UNIVERSITY OF MESSINA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CROSS CORRELATION ANALYSIS; REFERENCE MODELS; VIRTUAL SENSORS;

AUTOMATION; COMPUTER SIMULATION; DATA REDUCTION; MATHEMATICAL MODELS; PROBLEM SOLVING; VIRTUAL REALITY;

SENSORS;

EID: 33847269590     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. P. Arena, L. Fortuna, A. Gallo, G. Nunnari, G, M.G. Xibilia, "Air pollution estimation via neural networks", Proceedings of IFAC/IFORS/MACS Symposium, LSS'95 Large Scale Systems, London, Vol. 2, pp. 839-844, 1995.
2. C. Bozzanca, S. Licitra, L. Fortuna, M.G. Xibilia, "Neural networks for benzene percentage monitoring in distillation columns", Proceedings of the third international ICSC symposia on intelligent industrial automation and soft computing, pp. 391-395 ICSC Academic Press, Genoa, Italy, 1999.
3. S. Matsumura, T. Iwahara, K. Ogata, S. Fujii, M. Susuki, "Improvement of de NOx device control performance using a software sensor", Control Engineering Practice, Vol. 6, pp. 1267-1276, 1998.
4. S. Park, C. Han, "A non linear soft sensor based on multivariate smoothing procedure for quality estimation in distillation columns", Computers & Chem. Eng., Vol. 24, pp. 871-877, 2000.
5. M.T. Tham, G.A. Montague, A,J, Morris, P. Lant, "Soft-Sensors for Process Estimation and Inferential Control", Journal of Process Control, 1, pp. 3-14, Elsevier, 1991.
6. M.J. Willings, G.A. Montague, C. Di Massimo, M.T. Tham, A.J. Morris, "Artificial Neural Networks in Process Estimation and Control", Automatica, Vol. 28, N. 6,pp.1181-1187, 1992.
7. A. José de Assis, R. Maciel Filho, "Soft sensors development for on-line bioreactor state estimation", Computers and Chemical Eng., Vol. 24, pp. 1099-1103, Elsevier, 2000.
8. S. James, R. Legge, H. Budmann, "Comparative study of black-box and hybrid estimation methods in fed-batch fermentation", Journal of Process Control, Vol. 12, 1, pp. 113-121, 2002.
9. L. Fortuna, P. Giannone, S. Graziani, M.G. Xibilia, "Virtual Instruments Based on Stacked Neural Networks to Improve Product Quality Monitoring in a Refinery", to appear on Proc. IEEE IMTC 2005, Ottawa, 2005.
10. H.B. Su, L.T. Fan, J.R. Schlup, "Monitoring the process of curing of epoxy/graphite fiber composites with a recurrent neural network as a soft sensor", Eng. Appl. of Artificial Intelligence, Vol. 11, pp. 293-306, 1998.
11. L. Fortuna, S. Graziani, M.G. Xibilia, "Soft Sensors for Product Quality Monitoring in Debutanizer Distillation Columns", to appear on Control Engineering Practice.
12. L. Fortuna, A. Rizzo, M. Sinatra, M.G. Xibilia, "Soft analyser for a sulfur recovery unit", Control Engineering Practice, Elsevier, vol. 11, 12, pp. 1491-1500, 2003.
13. A. Rizzo, M.G. Xibilia, "An Innovative Intelligent System for Sensor Validation in Tokamak Machines", IEEE Trans. on Control System Technology, Vol. 10, No.3, 2002.
14. G. Buceti, L. Fortuna, A. Rizzo, M.G. Xibilia, "Automatic validation of the five-channel DCN interferometer in ENEA-FTU based on soft-computing techniques", Fusion engineering and design, Vol. 60, pp. 381-387 Elsevier, Amsterdam, 2002.
15. S. Chen, S.A. Billings, P.M. Grant, "Non linear systems identification using neural networks", International Journal of Control, Vol. 51, Issue: 6, pp. 1191-1214, 1990.