Fault detection and isolation of an online analyzer for an ethylene cracking process

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Kämpjärvi, P.
dc.contributor.author Sourander, M.
dc.contributor.author Komulainen, T.
dc.contributor.author Nikus, M.
dc.contributor.author Vatanski, N.
dc.contributor.author Jämsä-Jounela, Sirkka-Liisa
dc.date.accessioned 2016-09-23T09:31:31Z
dc.date.issued 2008
dc.identifier.citation Kämpjärvi , P , Sourander , M , Komulainen , T , Nikus , M , Vatanski , N & Jämsä-Jounela , S-L 2008 , ' Fault detection and isolation of an online analyzer for an ethylene cracking process ' Control Engineering Practice , vol 16 , pp. 1-13 . en
dc.identifier.issn 1873-6939
dc.identifier.other PURE UUID: e44424b5-d87f-419f-8326-a83ced18536d
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/fault-detection-and-isolation-of-an-online-analyzer-for-an-ethylene-cracking-process(e44424b5-d87f-419f-8326-a83ced18536d).html
dc.identifier.other PURE LINK: http://dx.doi.org/10.1016/j.conengprac.2007.03.007
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/5584220/Fault_detection_and_isolation_of_an_online_analyzer_for_an_ethylene_cracking_process.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/22484
dc.description.abstract Fault diagnosis methods based on process history data have been studied widely in recent years, and several successful industrial applications have been reported. Improved data validation has resulted in more stable processes and better quality of the products. In this paper, an on-line fault detection and isolation system consisting of a combination of principal component analysis (PCA) and two neural networks (NNs), radial basis function network (RBFN) and self-organizing map (SOM), is presented. The system detects and isolates faulty operation of the analyzers in an ethylene cracking furnace. The test results with real-time process data are presented and discussed. en
dc.format.extent 1-13
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Control Engineering Practice en
dc.relation.ispartofseries Volume 16 en
dc.rights openAccess en
dc.subject.other 215 Chemical engineering en
dc.subject.other 220 Industrial biotechnology en
dc.subject.other 216 Materials engineering en
dc.title Fault detection and isolation of an online analyzer for an ethylene cracking 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 Ethylene cracking; Process monitoring; Fault detection; Fault isolation; Principal component analysis; Self-organizing map
dc.subject.keyword Ethylene cracking
dc.subject.keyword Process monitoring
dc.subject.keyword Fault detection
dc.subject.keyword Fault isolation
dc.subject.keyword Principal component analysis
dc.subject.keyword Self-organizing map
dc.subject.keyword 215 Chemical engineering
dc.subject.keyword 220 Industrial biotechnology
dc.subject.keyword 216 Materials engineering
dc.identifier.urn URN:NBN:fi:aalto-201609234487
dc.type.version acceptedVersion

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