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dc.contributor.authorLi, Zhe
dc.contributor.authorWang, Kesheng
dc.contributor.authorHe, Yafei
dc.date.accessioned2019-06-03T14:13:52Z
dc.date.available2019-06-03T14:13:52Z
dc.date.created2016-12-19T11:31:08Z
dc.date.issued2016
dc.identifier.isbn978-94-6252-243-5
dc.identifier.urihttp://hdl.handle.net/11250/2599772
dc.description.abstractAbstract: Industry 4.0 represents the coming fourth industrial revolution on the way to combine modern industries with Cyber-Physical Systems, Internet of Things and Internet of Services. In an Industry 4.0 factory, machines are connected as a collaborative community to collect, exchange and analyse data systematically. This paper investigates the potentials and trends of predictive maintenance and maintenance management in industrial big data and Cyber-Physical Systems environment. Furthermore, the development of predictive maintenance, its technical challenges, and the potentials under Industry 4.0 era was researched to discover the linkage between Industry 4.0 and predictive maintenance.nb_NO
dc.language.isoengnb_NO
dc.publisherAtlantis Pressnb_NO
dc.relation.ispartofAdvances in Economics, Business and Management Research
dc.relation.ispartofseriesAdvances in Economics, Business and Management Research;
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleIndustry 4.0 - Potentials for Predictive Maintenancenb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber4nb_NO
dc.source.volume24nb_NO
dc.source.issueIWAMA-16nb_NO
dc.identifier.cristin1414939
dc.description.localcodeThis is an open access article distributed under the CC BY-NC license.nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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