Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/27245| Title: | Predictive Maintenance in Industry 4.0: Current Themes |
| Authors: | Sahli, A Evans, R Manohar, A |
| Keywords: | predictive maintenance;Industry 4.0;manufacturing;production;intelligent production;smart systems |
| Issue Date: | 26-Nov-2021 |
| Publisher: | Elsevier |
| 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. |
| 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. |
| URI: | https://bura.brunel.ac.uk/handle/2438/27245 |
| DOI: | https://doi.org/10.1016/j.procir.2021.11.329 |
| Other Identifiers: | ORCID iDs: Richard Evans https://orcid.org/0000-0001-6367-0560; Arthi Manohar https://orcid.org/0000-0002-9279-3604. |
| Appears in Collections: | Brunel Design School Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 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 |
This item is licensed under a Creative Commons License
