|Bousdekis A., Lepenioti K., Apostolou D., Mentzas G. (2019) Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0|
|Bousdekis A., Lepenioti K., Ntalaperas D., Vergeti D., Apostolou D., Boursinos V. (2019) A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry|
|Pertselakis M., Lampathaki F., Petrali P. (2019) Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers’ Information Systems|
|Mar 2021||Newsletter No. 8 [→ ]|
|Nov 2020||Newsletter No. 7 [→ ]|
|Jun 2020||Newsletter No. 6 [→ ]|
|Jan 2020||Newsletter No. 5 [→ ]|
|Sep 2019||Newsletter No. 4 [→ ]|
|May 2019||Newsletter No. 3 [→ ]|
|Jan 2019||Newsletter No. 2 [→ ]|
|Oct 2018||Newsletter No. 1 [→ ]|
RINA Strategic Intelligence Platform
Database for Predictive Maintenance Models, Techniques & Platforms
RINA Strategic Intelligence Platform serves as an UPTIME database, which provides an overview of and assessment to the state-of-play of predictive maintenance models, techniques and platforms, covering a broad spectrum of platforms and techniques, in order to define the technical concept of UPTIME, technical elements for specifications and design decisions of UPTIME platform architecture. The database is accessible here .
Click here to find UPTIME dissemination materials.