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Modelling of the raw mixing process in cement industry

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dc.contributor.authorÖzsoy, Can
dc.contributor.authorKural, Ayhan
dc.contributor.authorBaykara, Cemal
dc.date.accessioned2026-01-26T00:43:17Z
dc.date.issued2002-11-14
dc.description.abstractThis paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX (AutoRegressive with eXogenous input) models are proposed in which the inputs are the feed rates of the raw material components (low-grade limestone and iron ore) and the outputs are the iron oxide and/or lime module of the raw meal. The ARX models are parameterized giving the minimum number of parameters by the approach of R.P. Guidorzi (1975). The identification results show that these MISO and MIMO models are good models.
dc.description.urihttps://doi.org/10.1109/etfa.2001.996404
dc.description.urihttps://doi.org/10.1109/ETFA.2001.996404
dc.description.urihttps://dx.doi.org/10.1109/etfa.2001.996404
dc.identifier.doi10.1109/etfa.2001.996404
dc.identifier.endpage481
dc.identifier.openairedoi_dedup___::b16b58fa537d34aad269977045b98066
dc.identifier.startpage475
dc.identifier.urihttps://hdl.handle.net/11527/54757
dc.identifier.volume1
dc.publisherIEEE
dc.relation.ispartofETFA 2001. 8th International Conference on Emerging Technologies and Factory Automation. Proceedings (Cat. No.01TH8597)
dc.titleModelling of the raw mixing process in cement industry
dc.typeArticle
dspace.entity.typePublication

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