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DC Field | Value | Language |
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dc.contributor.author | Sahli, A | - |
dc.contributor.author | Evans, R | - |
dc.contributor.author | Manohar, A | - |
dc.coverage.spatial | Athens, Greece | - |
dc.date.accessioned | 2023-09-25T11:20:19Z | - |
dc.date.available | 2023-09-25T11:20:19Z | - |
dc.date.issued | 2021-11-26 | - |
dc.identifier | ORCID iDs: Richard Evans https://orcid.org/0000-0001-6367-0560; Arthi Manohar https://orcid.org/0000-0002-9279-3604. | - |
dc.identifier.citation | Sahli, A., Evans, R. and Manohar, A. (2021) 'Predictive Maintenance in Industry 4.0: Current Themes', Procedia CIRP, 104 pp. 1948 - 1953. doi: 10.1016/j.procir.2021.11.329. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/27245 | - |
dc.description.abstract | Copyright © 2021 The Authors. The Fourth Industrial Revolution (Industry 4.0) has created significant technological growth for manufacturing organizations worldwide, attracting important attention from the research community. Industrial automation and the introduction of smart digital technologies to traditional manufacturing processes has led to a generation of intelligent production methods to engineer smart products. In the last few decades, the term ‘maintenance’ has evolved with researchers offering various perspectives. The aim of this paper is to identify the issues related to industrial maintenance, uncovering its historical evolution, and providing a perspective for new types of industrial maintenance linked to Industry 4.0. | en_US |
dc.format.extent | 1948 - 1953 | - |
dc.format.medium | Electonic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 54th CIRP Conference on Manufacturing System 10.1016/j.procir.2021.11.329. | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | - |
dc.source | CIRP CMS2021. 54th CIRP Conference on Manufacturing Systems: Towards Digitalized Manufacturing 4.0 | - |
dc.source | CIRP CMS2021. 54th CIRP Conference on Manufacturing Systems: Towards Digitalized Manufacturing 4.0 | - |
dc.subject | predictive maintenance | en_US |
dc.subject | Industry 4.0 | en_US |
dc.subject | manufacturing | en_US |
dc.subject | production | en_US |
dc.subject | intelligent production | en_US |
dc.subject | smart systems | en_US |
dc.title | Predictive Maintenance in Industry 4.0: Current Themes | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.procir.2021.11.329 | - |
dc.relation.isPartOf | Procedia CIRP | - |
pubs.finish-date | 2021-09-24 | - |
pubs.finish-date | 2021-09-24 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2021-09-22 | - |
pubs.start-date | 2021-09-22 | - |
pubs.volume | 104 | - |
dc.identifier.eissn | 2212-8271 | - |
dc.rights.holder | The Authors | - |
Appears in Collections: | Brunel Design School Research Papers |
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FullText.pdf | Copyright © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 54th CIRP Conference on Manufacturing System 10.1016/j.procir.2021.11.329. | 1.25 MB | Adobe PDF | View/Open |
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