Modelling of the raw mixing process in cement industry

Can Özsoy; Ayhan Kural; Cemal Baykara

Modelling of the raw mixing process in cement industry

Can Özsoy^*, Ayhan Kural, Cemal Baykara

^*Bu çalışma için yazışmadan sorumlu yazar

Makina Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Yazı › bilirkişi

8 Atıf (Scopus)

Özet

The paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX models in which the inputs are the feed rates of raw material components (low grade and iron ore) and the outputs are iron oxide or/and lime module of the raw meal are proposed. ARX models are parameterized giving minimum number of parameters by the approach of Guidorzi. The identification results show that these MISO and MIMO models are good models.

Orijinal dil	İngilizce
Sayfalar	475-481
Sayfa sayısı	7
Yayın durumu	Yayınlandı - 2001
Etkinlik	8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) - Antibes-Juan les Pins, France Süre: 15 Eki 2001 → 18 Eki 2001

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???event.eventtypes.event.conference???	8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001)
Ülke/Bölge	France
Şehir	Antibes-Juan les Pins
Periyot	15/10/01 → 18/10/01

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

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Alıntı Yap

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title = "Modelling of the raw mixing process in cement industry",

abstract = "The paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX models in which the inputs are the feed rates of raw material components (low grade and iron ore) and the outputs are iron oxide or/and lime module of the raw meal are proposed. ARX models are parameterized giving minimum number of parameters by the approach of Guidorzi. The identification results show that these MISO and MIMO models are good models.",

author = "Can {\"O}zsoy and Ayhan Kural and Cemal Baykara",

year = "2001",

language = "English",

pages = "475--481",

note = "8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) ; Conference date: 15-10-2001 Through 18-10-2001",

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TY - CONF

T1 - Modelling of the raw mixing process in cement industry

AU - Özsoy, Can

AU - Kural, Ayhan

AU - Baykara, Cemal

PY - 2001

Y1 - 2001

N2 - The paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX models in which the inputs are the feed rates of raw material components (low grade and iron ore) and the outputs are iron oxide or/and lime module of the raw meal are proposed. ARX models are parameterized giving minimum number of parameters by the approach of Guidorzi. The identification results show that these MISO and MIMO models are good models.

AB - The paper represents the identification of a raw blending system in a cement factory for advanced process control. Three different linear multivariable stochastic ARX models in which the inputs are the feed rates of raw material components (low grade and iron ore) and the outputs are iron oxide or/and lime module of the raw meal are proposed. ARX models are parameterized giving minimum number of parameters by the approach of Guidorzi. The identification results show that these MISO and MIMO models are good models.

UR - http://www.scopus.com/inward/record.url?scp=0035556806&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0035556806

SP - 475

EP - 481

T2 - 8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001)

Y2 - 15 October 2001 through 18 October 2001

ER -

Modelling of the raw mixing process in cement industry

Özet

???event.eventtypes.event.conference???

BM SKH

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