A Framework for Maintenance 4 . 0 Conference Paper

The rapid development of new low-cost sensors of reasonable processing power have led to theintroduction of Cyber-Physical Systems (CPS) to support maintenance, which in turn together with a scalable,two level data processing architecture has taken maintenance as such to a new level i.e. Maintenance 4.0. Thepotential of CPS to support maintenance is explained, and it is related to the requirements set upon the sensors,such as robustness, communication capabilities, intelligence, small size, etc. A new framework andarchitecture with support for Health management, Prognostics and Collaborative decision-makingfunctionalities that takes the full advantage of the above introduced new technologies is described boththeoretically and in the light of some industrial use case examples. A comparative between the approachesimplemented in the use cases brings light into the maintenance possibilities to address in such a framework. A framework for maintenance 4.0 Erkki Jantunen*, Giovanni Di Orio**, Felix Larrinaga***, Martin Becker****, Michele Albano*****, and Pedro Maló** *VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, 02044 VTT, Finland, email: erkki.jantunen@vtt.fi **Dep De Eng. Eletrotécnica, FCT-UNL, UNINOVA-CTS, Lisboa, Portugal ***Mondragon University, Loramendi 4, 20500 Mondragon, Spain ****Fraunhofer IESE, Fraunhofer Platz 1, 67663 Kaiserslautern, Germany *****CISTER, ISEP/INESC-TEC, Polytechnic Institute of Porto, 4249-015 Porto, Portugal Abstract. The rapid development of new low-cost sensors of reasonable processing power have led to the introduction of Cyber-Physical Systems (CPS) to support maintenance, which in turn together with a scalable, two level data processing architecture has taken maintenance as such to a new level i.e. Maintenance 4.0. The The rapid development of new low-cost sensors of reasonable processing power have led to the introduction of Cyber-Physical Systems (CPS) to support maintenance, which in turn together with a scalable, two level data processing architecture has taken maintenance as such to a new level i.e. Maintenance 4.0. The potential of CPS to support maintenance is explained, and it is related to the requirements set upon the sensors, such as robustness, communication capabilities, intelligence, small size, etc. A new framework and architecture with support for Health management, Prognostics and Collaborative decision-making functionalities that takes the full advantage of the above introduced new technologies is described both theoretically and in the light of some industrial use case examples. A comparative between the approaches implemented in the use cases brings light into the maintenance possibilities to address in such a framework.