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XAI for anomaly analysis by power plant operators - a case and user study

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cris.customurl15307
dc.contributor.authorDix, Marcel
dc.contributor.authorKoltermann, Jan
dc.contributor.authorMieck, Sebastian
dc.contributor.authorPastler, Boris
dc.contributor.authorKloepper, Benjamin
dc.date.issued2024-03
dc.description.versionVoR
dc.identifier.doi10.24405/15307
dc.identifier.urihttps://openhsu.ub.hsu-hh.de/handle/10.24405/15307
dc.language.isoen
dc.publisherUB HSU
dc.relation.conferenceML4CPS – Machine Learning for Cyber-Physical Systems
dc.relation.orgunitIndustrial AI, ABB AG Corporate Research Center, Germany
dc.relation.orgunitPower Plant Analytics, LEAG Lausitz Energy Power Plants AG, Germany
dc.relation.orgunitIntelligent Industry, Capgemini Invent, Germany
dc.rights.accessRightsopen access
dc.subjectAI
dc.subjectExplainable AI (XAI)
dc.subjectAnomaly detection
dc.subjectPower plant
dc.subjectOperator
dc.titleXAI for anomaly analysis by power plant operators - a case and user study
dc.typeConference paper
dcterms.bibliographicCitation.booktitleMachine learning for cyber physical systems
dcterms.bibliographicCitation.originalpublisherplaceHamburg
dcterms.isPartOfhttps://openhsu.ub.hsu-hh.de/handle/10.24405/16610
dspace.entity.typePublication
hsu.uniBibliography✅
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