Version 1
: Received: 8 March 2023 / Approved: 9 March 2023 / Online: 9 March 2023 (04:16:26 CET)
How to cite:
Shaalan, A.; Baglee, D. Condition Monitoring in the Advances of Industry 4.0- Case Study. Preprints2023, 2023030166. https://doi.org/10.20944/preprints202303.0166.v1
Shaalan, A.; Baglee, D. Condition Monitoring in the Advances of Industry 4.0- Case Study. Preprints 2023, 2023030166. https://doi.org/10.20944/preprints202303.0166.v1
Shaalan, A.; Baglee, D. Condition Monitoring in the Advances of Industry 4.0- Case Study. Preprints2023, 2023030166. https://doi.org/10.20944/preprints202303.0166.v1
APA Style
Shaalan, A., & Baglee, D. (2023). Condition Monitoring in the Advances of Industry 4.0- Case Study. Preprints. https://doi.org/10.20944/preprints202303.0166.v1
Chicago/Turabian Style
Shaalan, A. and David Baglee. 2023 "Condition Monitoring in the Advances of Industry 4.0- Case Study" Preprints. https://doi.org/10.20944/preprints202303.0166.v1
Abstract
Technology-enabled maintenance via sensors and the internet of things (IoT) technologies is seen as the “new maintenance strategy”. The aim is to use these technologies to focus on unnecessary breakdowns and increase levels of asset availability where the existing of a dedicated team to maintain or data on asset condition is limited, useless or full of noise. This paper presents the integration of various sensing nodes within an automated laser cutting machine for monitoring of critical components’ conditions. The integrated system provides a centralised platform for data collection from various sensors and provides early failure detection mechanism based on specified set points with alert mechanisms utilising a custom dashboard for data visualisation. The research highlights the required stages for the identification of the appropriate components and sensory devices for the development of efficient monitoring environment.
Keywords
advanced maintenance; condition monitoring; Internet of Things (IoT); Failure Mode Effect Anal-ysis (FMEA)
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
