Data based classification of roaster bed stability

Computer Aided Chemical Engineering

Volumn 14, Issue C, 2003, Pages 503-508

  Saxen, Björn ^a   Nyberg, Jens ^b  

^a Outokumpu Research Oy   (Finland)

^b Outokumpu Oyj   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77956732193     PISSN: 15707946     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1570-7946(03)80165-7     Document Type: Article

References (8)

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2. Isermann R. Supervision, fault-detection and fault-diagnosis methods-an introduction. control Engineering Practice vol. 5 no. 5 (1977) 639-652
3. Jämsä-Jounela S.-L., Kojo I., Vapaavuori E., Vermasvuori M., and Haavisto S. Fault Diagnosis System for the Outokumpu Flash Smelting Process. Proceedings of 2001 TMS Annual Meeting. New Orleans, USA (2001) 569-578
4. Kohonen T. Self-Organizing Maps, volume 30 of Springer Series in Information Sciences (2001), Springer, Berlin, Heidelberg
5. Laine S., Pulkkinen K., and Jämsä-Jounela S.-L. On-line Determination of the Concentrate Feed Type at Outokumpu Hitura Mine. Minerals Engineering vol. 13 no. 8-9 (2000) 881-895
6. Metsärinta M.-L., Taskinen P., Jyrkönen S., Nyberg J., and Rytioja A. Roasting Mechanisms of Impure Zinc Concentrates in Fluidized Beds, accepted for Yazawa International Symposium on Metallurgical and Materials Processing. March 2003, California, USA (2002)
7. Rantala A., Virtanen H., Saloheimo K., and Jämsä-Jounela S.-L. Using principal component analysis and self-organizing map to estimate the physical quality of cathode copper. Preprints of IFAC workshop n future trends in automation in mineral and metal processing. Helsinki, Finland (2000) 373-378
8. SOM Toolbox (2002). http://www.cis.hut.fi/projects/somtoolbox