Intelligent control system of an industrial lime kiln process

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Järvensivu, Mika Saari, K. Jämsä-Jounela, Sirkka-Liisa 2016-09-23T09:21:45Z 2001
dc.identifier.citation Järvensivu , M , Saari , K & Jämsä-Jounela , S-L 2001 , ' Intelligent control system of an industrial lime kiln process ' Control Engineering Practice , vol 9 , no. 6 , pp. 589-606 . en
dc.identifier.issn 1873-6939
dc.identifier.other PURE UUID: 4152ffba-429b-4140-80c1-4374a328f165
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE LINK:
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dc.description.abstract In the face of strong competition, the pulp and paper industry is aiming at higher profitability through increased productivity and the reduction of costs. In addition, on the global scale the industry is facing increasing market demands for higher product quality, more specialty products and improved production flexibility and environmental protection. Consequently, extensive research is being conducted to improve existing processes. One alternative, which is gaining increasing attention within the industry, is the improved control of existing processes by means of intelligent systems. In this paper, an intelligent kiln control system is presented. In the system, neural network models are used in conjunction with advanced high-level controllers based on fuzzy logic principles and a novel linguistic equation approach. Finally, the testing results of the system are presented and discussed. en
dc.format.extent 589-606
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Control Engineering Practice en
dc.relation.ispartofseries Volume 9, issue 6 en
dc.rights openAccess en
dc.subject.other Control and Systems Engineering en
dc.subject.other Computer Science Applications en
dc.subject.other Electrical and Electronic Engineering en
dc.subject.other Applied Mathematics en
dc.title Intelligent control system of an industrial lime kiln process en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Biotechnology and Chemical Technology en
dc.subject.keyword emissions
dc.subject.keyword energy consumption
dc.subject.keyword intelligent systems
dc.subject.keyword quality
dc.subject.keyword rotary kiln
dc.subject.keyword supervisory-level control
dc.subject.keyword Control and Systems Engineering
dc.subject.keyword Computer Science Applications
dc.subject.keyword Electrical and Electronic Engineering
dc.subject.keyword Applied Mathematics
dc.identifier.urn URN:NBN:fi:aalto-201609234415
dc.identifier.doi 10.1016/S0967-0661(01)00017-X
dc.type.version publishedVersion

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