dc.contributor.author | Andreasen, Glenn | |
dc.contributor.author | Stoustrup, Jakob | |
dc.contributor.author | Izadi-Zamanabadi, Roozbeh | |
dc.contributor.author | Pardiñas, Ángel Á. | |
dc.contributor.author | Hafner, Armin | |
dc.date.accessioned | 2020-04-02T13:03:57Z | |
dc.date.available | 2020-04-02T13:03:57Z | |
dc.date.created | 2019-10-10T12:44:18Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | American Control Conference (ACC). 2019, 2019-July 5385-5390. | en_US |
dc.identifier.issn | 0743-1619 | |
dc.identifier.uri | https://hdl.handle.net/11250/2650124 | |
dc.description.abstract | This paper describes a data-driven method for system identification of a CO 2 refrigeration system. Traditionally, the interaction between the measured variables is not utilized as they are highly dependent on the refrigeration system. In this work a data-driven method, namely subspace identification, is investigated for deriving a control-oriented model such that the dynamic interaction in the refrigeration systems can be utilized for e.g. fault detection and diagnosis. The subspace identification is applied on laboratory data obtained from a test setup located at NTNU in Trondheim, Norway. The obtained results offer promising perspectives for performance improvement in fault detection and diagnosis methods as well as control strategies. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | Data-driven modeling of a CO2 refrigeration system | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 5385-5390 | en_US |
dc.source.volume | 2019-July | en_US |
dc.source.journal | American Control Conference (ACC) | en_US |
dc.identifier.doi | 10.23919/ACC.2019.8814871 | |
dc.identifier.cristin | 1735964 | |
dc.relation.project | Norges forskningsråd: 257632 | en_US |
dc.description.localcode | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
cristin.unitcode | 194,64,25,0 | |
cristin.unitname | Institutt for energi- og prosessteknikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |