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dc.contributor.authorAftab, Muhammad Faisal
dc.contributor.authorHovd, Morten
dc.contributor.authorSivalingam, Selvanathan
dc.date.accessioned2018-01-24T14:48:44Z
dc.date.available2018-01-24T14:48:44Z
dc.date.created2018-01-19T20:14:10Z
dc.date.issued2017
dc.identifier.citationIFAC-PapersOnLine. 2017, 50 (1), 7975-7980.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2479516
dc.description.abstractNon-linear time series analysis based methods are a popular choice for industrial control loop data analysis. In this paper a delay vector variance (DVV) based approach is presented to analyze the source of oscillations in an industrial control loop. The method is capable of differentiating between the linear and non-linear causes of oscillations and can also help in isolating the source of non-linearity. The automatic determination of embedding dimensions is augmented with the DVV analysis to make it more robust and reliable. The efficacy of the proposed method is established using simulation as well as industrial case studies.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleA Delay Vector Variance based Approach for Detecting and Isolating the Non-linearity Induced Oscillations in Control Loopsnb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber7975-7980nb_NO
dc.source.volume50nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.1016/j.ifacol.2017.08.992
dc.identifier.cristin1547894
dc.description.localcodeThis is a submitted manuscript of an article published by Elsevier Ltd in IFAC-PapersOnLine, 18 October 2017.nb_NO
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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