Integrating Process Indicators with Monitoring Method Hybrids

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Jämsä-Jounela, Sirkka-Liisa
dc.contributor.author Komulainen, Tiina
dc.contributor.editor Shah, Sirish
dc.contributor.editor MacGregor, J.F.
dc.date.accessioned 2016-09-23T08:29:43Z
dc.date.issued 2004
dc.identifier.citation Jämsä-Jounela , S-L & Komulainen , T 2004 , Integrating Process Indicators with Monitoring Method Hybrids . in S Shah & J F MacGregor (eds) , Dynamics and Control of Process Systems (DYCOPS 7), Cambridge, Massachusetts USA, July 5-7, 2004 . ACC, IFAC . en
dc.identifier.other PURE UUID: fea335ad-49a7-4314-b04a-3210108c28f3
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/integrating-process-indicators-with-monitoring-method-hybrids(fea335ad-49a7-4314-b04a-3210108c28f3).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/6634277/integrating_process_indicators_with_monitoring_method_hybrids.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/22389
dc.description.abstract In this article the benefits of process monitoring are discussed. The different aspects of data-based monitoring methods and their combinations are reviewed. The role of process indicators is discussed, and the concept of combining a monitoring method library with the process indicators is presented. Finally, the benefits of process indicators and monitoring method hybrids are demonstrated with five industrial process monitoring applications created by the Laboratory of Process Control and Automation, Helsinki University of Technology. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Dynamics and Control of Process Systems (DYCOPS 7), Cambridge, Massachusetts USA, July 5-7, 2004 en
dc.rights openAccess en
dc.title Integrating Process Indicators with Monitoring Method Hybrids en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Biotechnology and Chemical Technology en
dc.subject.keyword process monitoring, process indicators, PLS, DPLS, PCA, SOM
dc.subject.keyword process monitoring
dc.subject.keyword process indicators
dc.subject.keyword industrial applications
dc.identifier.urn URN:NBN:fi:aalto-201609234393
dc.type.version acceptedVersion


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