A pilot for proactive maintenance in industry 4.0

Luis Lino Ferreira, Michele Albano, Jose Silva, Diogo Martinho, Goreti Marreiros, Giovanni Di Orio, Pedro Malo, Hugo Ferreira

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

The reliability and safety of industrial machines depends on their timely maintenance. The integration of Cyber Physical Systems within the maintenance process enables both continuous machine monitoring and the application of advanced techniques for predictive and proactive machine maintenance. The building blocks for this revolution-embedded sensors, efficient preprocessing capabilities, ubiquitous connection to the internet, cloud-based analysis of the data, prediction algorithms, and advanced visualization methods- A re already in place, but several hurdles have to be overcome to enable their application in real scenarios, namely: The integration with existing machines and existing maintenance processes. Current research and development efforts are building pilots and prototypes to demonstrate the feasibility and the merits of advanced maintenance techniques, and this paper describes a system for the industrial maintenance of sheet metal working machinery and its evolution towards a full proactive maintenance system.

Original languageEnglish
Title of host publication2017 IEEE 13th International Workshop on Factory Communication Systems, WFCS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-150905788-7
DOIs
Publication statusPublished - 25 Jul 2017
Event13th IEEE International Workshop on Factory Communication Systems, WFCS 2017 - Trondheim, Norway
Duration: 31 May 20172 Jun 2017

Conference

Conference13th IEEE International Workshop on Factory Communication Systems, WFCS 2017
CountryNorway
CityTrondheim
Period31/05/172/06/17

Fingerprint

Industry
Metal working
Sheet metal
Machinery
Visualization
Internet
Monitoring
Sensors

Keywords

  • analytics
  • Cyber Physical Systems
  • Industry

Cite this

Ferreira, L. L., Albano, M., Silva, J., Martinho, D., Marreiros, G., Di Orio, G., ... Ferreira, H. (2017). A pilot for proactive maintenance in industry 4.0. In 2017 IEEE 13th International Workshop on Factory Communication Systems, WFCS 2017 [7991952] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WFCS.2017.7991952
Ferreira, Luis Lino ; Albano, Michele ; Silva, Jose ; Martinho, Diogo ; Marreiros, Goreti ; Di Orio, Giovanni ; Malo, Pedro ; Ferreira, Hugo. / A pilot for proactive maintenance in industry 4.0. 2017 IEEE 13th International Workshop on Factory Communication Systems, WFCS 2017. Institute of Electrical and Electronics Engineers Inc., 2017.
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Ferreira, LL, Albano, M, Silva, J, Martinho, D, Marreiros, G, Di Orio, G, Malo, P & Ferreira, H 2017, A pilot for proactive maintenance in industry 4.0. in 2017 IEEE 13th International Workshop on Factory Communication Systems, WFCS 2017., 7991952, Institute of Electrical and Electronics Engineers Inc., 13th IEEE International Workshop on Factory Communication Systems, WFCS 2017, Trondheim, Norway, 31/05/17. https://doi.org/10.1109/WFCS.2017.7991952

A pilot for proactive maintenance in industry 4.0. / Ferreira, Luis Lino; Albano, Michele; Silva, Jose; Martinho, Diogo; Marreiros, Goreti; Di Orio, Giovanni; Malo, Pedro; Ferreira, Hugo.

2017 IEEE 13th International Workshop on Factory Communication Systems, WFCS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7991952.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - The reliability and safety of industrial machines depends on their timely maintenance. The integration of Cyber Physical Systems within the maintenance process enables both continuous machine monitoring and the application of advanced techniques for predictive and proactive machine maintenance. The building blocks for this revolution-embedded sensors, efficient preprocessing capabilities, ubiquitous connection to the internet, cloud-based analysis of the data, prediction algorithms, and advanced visualization methods- A re already in place, but several hurdles have to be overcome to enable their application in real scenarios, namely: The integration with existing machines and existing maintenance processes. Current research and development efforts are building pilots and prototypes to demonstrate the feasibility and the merits of advanced maintenance techniques, and this paper describes a system for the industrial maintenance of sheet metal working machinery and its evolution towards a full proactive maintenance system.

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Ferreira LL, Albano M, Silva J, Martinho D, Marreiros G, Di Orio G et al. A pilot for proactive maintenance in industry 4.0. In 2017 IEEE 13th International Workshop on Factory Communication Systems, WFCS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7991952 https://doi.org/10.1109/WFCS.2017.7991952