The Way Cyber Physical Systems Will Revolutionise Maintenance

The way maintenance is carried out is altering rapidly. The introduction of Cyber Physical Systems (CPS) and cloud technologies are providing new technological possibilities that change dramatically the way it is possible to follow production machinery and the necessity to carry out maintenance. In the near future, the number of machines that can be followed from remoteness will explode. At the same time, it will be conceivable to carry out local diagnosis and prognosis that support the adaptation of Condition Based Maintenance (CBM) i.e. financial optimisation can drive the decision whether a machine needs maintenance or not. Further to this, the cloud technology allows to accumulate relevant data from numerous sources that can be used for further improvement of the maintenance practices. The paper goes through the new technologies that have been mentioned above and how they can be benefitted from in practise. 30th Conference on Condition Monitoring COMADEM 2017, University of Central Lancashire, UK. and Diagnostic Engineering Management 1 The Way Cyber Physical Systems Will Revolutionise Maintenance E. Jantunen, U. Gorostegi, U. Zurutuza, F. Larrinaga, M. Albano, G. Di Orio, P. Malo, C. Hegedűs VTT Technical Research Centre of Finland, P.O. Box 1000, FI-02044 VTT, Finland Mondragon University, Loramendi 4, 20500 Mondragon, Spain 3 CISTER, ISEP/INESC-TEC, Polytechnic Institute of Porto, Portugal Dep. De Eng. Eletrotécnica, FCT-UNL, UNINOVA-CTS, Lisboa, Portugal AITIA International Inc., Czetz János str. 48-50., Budapest HU-1039, Hungary

[1]  Benoît Iung,et al.  A New Integrated E-maintenance Concept , 2010 .

[2]  Abdu Idris Omer,et al.  ARCHITECTURE OF INDUSTRIAL AUTOMATION SYSTEMS , 2014 .

[3]  G. Lay,et al.  The relevance of service in European manufacturing industries , 2010 .

[4]  Joshua Kramer,et al.  Advanced message queuing protocol (AMQP) , 2009 .

[5]  Peter Marwedel,et al.  Embedded system design , 2010, Embedded Systems.

[6]  Jay Lee,et al.  Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications , 2014 .

[7]  Mahadev Satyanarayanan,et al.  Edge Computing , 2017, Computer.

[8]  Florian Michahelles,et al.  An Architectural Approach Towards the Future Internet of Things , 2011, Architecting the Internet of Things.

[9]  Paulo Leitão,et al.  Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges , 2016, Comput. Ind..

[10]  Robert Harrison,et al.  Industrial Cloud-Based Cyber-Physical Systems: The IMC-AESOP Approach , 2014 .

[11]  Yenumula B. Reddy,et al.  Cyber-Physical Systems: Survey , 2014 .

[12]  Dragan Stokic,et al.  A Platform to Support the Product Servitization , 2016 .

[13]  Tim Baines,et al.  The servitization of manufacturing: A review of literature and reflection on future challenges , 2009 .

[14]  John Soldatos,et al.  5 Internet of Things Applications in Future Manufacturing , 2016 .

[15]  Liviu Miclea,et al.  Cyber-Physical Systems - Concept, Challenges and Research Areas , 2012 .

[16]  Michael Thurston,et al.  Standards Developments for Condition-Based Maintenance Systems , 2001 .

[17]  Jay Lee,et al.  Cyber-Physical Systems in Future Maintenance , 2015 .

[18]  Edward A. Lee,et al.  Introduction to Embedded Systems - A Cyber-Physical Systems Approach , 2013 .

[19]  Timothy Grance,et al.  Cloud Computing Synopsis and Recommendations , 2012 .

[20]  S. Vandermerwe,et al.  Servitization of business : Adding value by adding services , 1988 .

[21]  Sebastian Engell,et al.  Core Research and Innovation Areas in Cyber-Physical Systems of Systems , 2015, ERCIM News.

[22]  Wael M. Mohammed,et al.  Cyber–Physical Systems for Open-Knowledge-Driven Manufacturing Execution Systems , 2016, Proceedings of the IEEE.

[23]  Raja Lavanya,et al.  Fog Computing and Its Role in the Internet of Things , 2019, Advances in Computer and Electrical Engineering.