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dc.contributor.authorWaszak, Maryna
dc.contributor.authorMoen, Terje
dc.contributor.authorEidnes, Sølve
dc.contributor.authorStasik, Alexander Johannes
dc.contributor.authorHansen, Anders
dc.contributor.authorBouquet, Gregory
dc.contributor.authorPultier, Antoine
dc.contributor.authorMa, Xiang
dc.contributor.authorTørlen, Idar
dc.contributor.authorHenriksen, Bjørn
dc.contributor.authorAamodt, Arianeh
dc.contributor.authorRoman, Dumitru
dc.date.accessioned2023-01-05T17:21:28Z
dc.date.available2023-01-05T17:21:28Z
dc.date.created2022-11-16T12:00:53Z
dc.date.issued2022
dc.identifier.citationProceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022). 2022, 22-23.en_US
dc.identifier.isbn978-1-4503-9459-8
dc.identifier.urihttps://hdl.handle.net/11250/3041386
dc.description.abstractDigitisation in the mining and metal processing industries plays a key role in their modernisation. Production processes are more and more supported by a variety of sensors that produce large amounts of data that meant to provide insights into the performance of production infrastructures. In the metal processing industry vibration sensors are essential in the monitoring of the production infrastructure. In this position paper we present the installation of vibration sensors in a real industrial environment and discuss the data quality issues we encountered while using such sensors.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofProceedings of the 2nd International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things (SEA4DQ 2022)
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectVibration sensorsen_US
dc.subjectData qualityen_US
dc.subjectFerrosilicon productionen_US
dc.titleData quality issues for vibration sensors: a case study in ferrosilicon productionen_US
dc.title.alternativeData quality issues for vibration sensors: a case study in ferrosilicon productionen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 Copyright held by the owner/author(s)en_US
dc.source.pagenumber22-23en_US
dc.identifier.doi10.1145/3549037.3561273
dc.identifier.cristin2074771
dc.relation.projectEC/H2020/101016835en_US
dc.relation.projectNorges forskningsråd: 309691en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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