Registered and Presented papers will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

Proceedings of all past editions of CoDIT are published through IEEE Xplore and indexed in:

DBLP, Conference Proceedings Citation Index | Thomson Reuters, SCOPUS, Ei Compendex and IEEE.

Session Co-Chairs:
Dr Erkki Jantunen, VTT Technical Research Centre of Finland, Finland
Dr Urko Zurutuza, Mondragon University, Spain
Dr Michele Albano, CISTER, ISEP/INESC-TEC, Polytechnic Institute of Porto, Portugal
Session description
This special session deals with the issue of Cyber Physical System (CPS) based Proactive Collaborative Maintenance. Current developments in embedded technologies and machine learning allow for the application of Industry 4.0 concepts to the wide area of machine maintenance. It is thus possible to evolve from reactive (repair after it breaks) and preventive (time-based) maintenance, to driving main-tenance operation by means of measurements taken on the environment and on the machines, and by means of machine learning used to “understand” when a machine’s behaviours is getting astray from a healthy one.
The goal of the special session is to bring together experts from academia and industry to stimulate dis-cussion regarding current status and directions for maintenance in the context of Industry 4.0. In par-ticular, special focus is given on how new sensing CPS can capture maintenance relevant and critical information with virtual plug and play, and easy to configure solutions and deploy complex maintenance services and secure wireless solutions increasing the possibility to reach inaccessible places for a wired network.
The topics of interest include, but are not limited to:
• Proactive maintenance
• Cyber Physical Systems
• Condition monitoring
• Diagnosis& Prognosis
• Remaining useful life
• Industrial IoT