A pilot for proactive maintenance in industry 4.0

L.L. Ferreira, Michele Albano, J. Silva, D. Martinho, G. Marreiros, G. Di Orio, P. Malo, H. Ferreira

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

35 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 – are 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 publication13th International Workshop on Factory Communication Systems - Proceedings, WFCS
PublisherIEEE
Publication date2017
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventInternational Workshop on Factory Communication Systems - Trondheim, Norway
Duration: 31 May 20172 Jun 2017
Conference number: 13

Conference

ConferenceInternational Workshop on Factory Communication Systems
Number13
Country/TerritoryNorway
CityTrondheim
Period31/05/201702/06/2017

Keywords

  • industry
  • analytics
  • Cyber Physical Systems

Fingerprint

Dive into the research topics of 'A pilot for proactive maintenance in industry 4.0'. Together they form a unique fingerprint.

Cite this