An online application of dynamic PLS to a dearomatization process

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Komulainen, Tiina Sourander, Mauri Jämsä-Jounela, Sirkka-Liisa 2016-09-23T09:20:46Z 2004
dc.identifier.citation Komulainen , T , Sourander , M & Jämsä-Jounela , S-L 2004 , ' An online application of dynamic PLS to a dearomatization process ' COMPUTERS AND CHEMICAL ENGINEERING , vol 28/12 , no. 11 , pp. 2611-2619 . en
dc.identifier.issn 0098-1354
dc.identifier.issn 1873-4375
dc.identifier.other PURE UUID: 1215d060-35bf-4b2f-b245-72e9e9a0df3d
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE LINK:
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dc.description.abstract Early detection of process disturbances and prediction of malfunctions in process equipment improve the safety of the process, minimize the time and resources needed for maintenance, and increase the uniform quality of the products. The objective of online-monitoring is to trace the state of the process and the condition of process equipment in real-time, and to detect faults as early as possible. In this article the different properties of the online-monitoring methods applied in the process industries are first reviewed. A description of the systematic development of the online-monitoring system for an industrial dearomatization process, specifically for flash point and distillation curve analysers, is then presented. Finally, the results of offline and online tests of the monitoring system using real industrial data from the Fortum Naantali Refinery in Finland, are described and discussed. The developed online-monitoring application was successful in real-time process monitoring and it fulfilled the industrial requirements. PACS: 07.05.Mh; 07.05.Tp; 83.85.Ns en
dc.format.extent 2611-2619
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries COMPUTERS AND CHEMICAL ENGINEERING en
dc.relation.ispartofseries Volume 28/12, issue 11 en
dc.rights openAccess en
dc.title An online application of dynamic PLS to a dearomatization 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 Online process monitoring; Industrial real-time application; Dynamic PLS; Computed variables; Time-lagged variables; Trickle-bed reactor; Online analysers; Flash point analyser; Distillation curve analyser
dc.subject.keyword Online process monitoring
dc.subject.keyword Industrial real-time application
dc.subject.keyword Dynamic PLS
dc.subject.keyword Computed variables
dc.subject.keyword Time-lagged variables
dc.subject.keyword Trickle-bed reactor
dc.subject.keyword Online analysers
dc.subject.keyword Flash point analyser
dc.subject.keyword Distillation curve analyser
dc.identifier.urn URN:NBN:fi:aalto-201609234400
dc.type.version acceptedVersion

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