Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorPoór, Peter
dc.contributor.authorBasl, Josef
dc.contributor.authorŽeníšek, David
dc.date.accessioned2019-09-23T10:00:09Z-
dc.date.available2019-09-23T10:00:09Z-
dc.date.issued2019
dc.identifier.citationPOÓR, P., BASL, J., ŽENÍŠEK, D. Predictive Maintenance 4.0 as next evolution step in industrial maintenance development. In Proceedings IEEE Iinternational research conference on smart computing and systems engineering (SCSE 2019). Colombo: Department of Industrial Management, Faculty of Science, University of Kelaniya, 2019. s. 245-253. ISSN 2613-8662.en
dc.identifier.issn2613-8662
dc.identifier.urihttp://hdl.handle.net/11025/35082
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherDepartment of Industrial Management, Faculty of Science, University of Kelaniyaen
dc.relation.ispartofseriesProceedings IEEE International research conference on smart computing and systems engineering (SCSE 2019)en
dc.rightsPlný text není přístupný.cs
dc.rights© Department of Industrial Management, Faculty of Science, University of Kelaniyaen
dc.titlePredictive Maintenance 4.0 as next evolution step in industrial maintenance developmenten
dc.typepostprintcs
dc.typepostprinten
dc.rights.accessclosedAccessen
dc.type.versionacceptedVersionen
dc.description.abstract-translatedThe aim of this article is to acquaint the reader with problematics of industrial maintenance. The first part of the article deals with the historical overview of maintenance itself. There are different definitions and approaches to maintenance, some of them are presented with the most used maintenance types of breakdown maintenance, preventive maintenance, predictive maintenance, RCM, and TPM. The paper proposes opportunities for “new” type of maintenance connected with Industry 4.0, namely Predictive Maintenance.en
dc.subject.translatedPredictive Maintenanceen
dc.subject.translatedindustrial maintenanceen
dc.subject.translateddevelopmenten
dc.type.statusPeer-revieweden
dc.identifier.obd43925952
dc.project.IDSGS-2018-031/Optimalizace parametrů udržitelného výrobního systémucs
Vyskytuje se v kolekcích:Postprinty / Postprints (KPV)
OBD

Soubory připojené k záznamu:
Soubor VelikostFormát 
SCSE-12 cr (1).pdf369,33 kBAdobe PDFZobrazit/otevřít  Vyžádat kopii


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/35082

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání
navigace
  1. DSpace at University of West Bohemia
  2. Publikační činnost / Publications
  3. OBD