dc.contributor.author | Backi, Christoph Josef | |
dc.contributor.author | Skogestad, Sigurd | |
dc.date.accessioned | 2019-02-21T09:12:58Z | |
dc.date.available | 2019-02-21T09:12:58Z | |
dc.date.created | 2018-06-14T16:17:15Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Computer-aided chemical engineering. 2018, 43 1153-1158. | nb_NO |
dc.identifier.issn | 1570-7946 | |
dc.identifier.uri | http://hdl.handle.net/11250/2586658 | |
dc.description.abstract | Multiphase metering is often unavailable, unreliable or expensive, which makes model-based, virtual monitoring a cheap and reliable alternative in order to obtain information about e.g. the inflows to a device. This paper presents an approach for inflow estimation to a gravity separator based on a standard Extended Kalman Filter. Potential improvements include a cascaded structure, a Kalman-like least squares observer with forgetting factor, and a combination of these. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Elsevier | nb_NO |
dc.title | Virtual inflow estimation with simplified tuning using cascaded and Kalman-like least squares observers | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 1153-1158 | nb_NO |
dc.source.volume | 43 | nb_NO |
dc.source.journal | Computer-aided chemical engineering | nb_NO |
dc.identifier.doi | 10.1016/B978-0-444-64235-6.50201-1 | |
dc.identifier.cristin | 1591298 | |
dc.relation.project | Norges forskningsråd: 237893 | nb_NO |
dc.description.localcode | This article will not be available due to copyright restrictions © 2018 by Elsevier | nb_NO |
cristin.unitcode | 194,66,30,0 | |
cristin.unitname | Institutt for kjemisk prosessteknologi | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |