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VerSatilE plug-and-play platform enabling remote pREdictive mainteNAnce


Design of versatile framework for factory condition monitoring

This deliverable will describe the design of HW and SW solutions for versatile remote factory monitoring. Specifications and architecture designs will be provided by IPT and VTT concerning their developments in T2.2 and T2.3.

Design of versatile maintenance and planning

This deliverable will describe the design of WP3 approach. Design specifications will be provided and documented by VTT and LMS with respect to their developments in T3.2 and T3.3.

Dissemination and exploitation activities- Initial version

Initial report presenting the detailed plan of dissemination activities, as well as the initial version of the project exploitation plan to be followed by the consortium.

Design of AR-based remote diagnostics platform and interfaces

This deliverable will describe the design of WP4 overall approach. VTT and LMS will contribute to this deliverable with considering their implementations in T4.2 and T4.3.

Design of cloud-based platform for remote diagnostics

This deliverable will describe the design of WP5 developments. DELL EMC and ENG will also contribute to this deliverable from their developments perspective in T5.2-5.

Test beds design & adaption

This deliverable will describe the outcome of T6.1 along with the contribution of T6.2-6.5 describing the preliminary setup and scenarios for each demonstrator.

SERENA public web portal

Public site of the project accessible by all audiences for promoting the dissemination and communication activities

Data Management Plan

This deliverable will describe what open data the project will generate and how it will be made accessible. The deliverable will include a description of the data management for all the collected data sets and a listing of open access journals relevant for the project. The data management plan will be updated throughout the project period.


SERENA: Versatile Plug-and-Play Platform Enabling Remote Predictive Maintenance

Author(s): Sotirios Makris, Nikolaos Nikolakis, Konstantinos Dimoulas, Apostolos Papavasileiou, Massimo Ippolito
Published in: Enterprise Interoperability - Smart Services and Business Impact of Enterprise Interoperability, 2018, Page(s) 277-283
DOI: 10.1002/9781119564034.ch34

On a versatile scheduling concept of maintenance activities for increased availability of production resources

Author(s): Nikolaos Nikolakis, Apostolos Papavasileiou, Konstantinos Dimoulas, Kiriakos Bourmpouchakis, Sotirios Makris
Published in: Procedia CIRP, Issue 78, 2018, Page(s) 172-177, ISSN 2212-8271
DOI: 10.1016/j.procir.2018.09.065

On an evolutionary information system for personalized support to plant operators

Author(s): Nikolaos Nikolakis, Ioannis Stathakis, Sotirios Makris
Published in: Procedia CIRP, Issue 81, 2019, Page(s) 547-551, ISSN 2212-8271
DOI: 10.1016/j.procir.2019.03.153

A cloud-to-edge architecture for predictive analytics

Author(s): Bowden, D., Marguglio, A., Morabito, L., Napione, C., Panicucci, S., Nikolakis, N., … Jung, S.
Published in: 2019

iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0

Author(s): Daniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura
Published in: 2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom), 2018, Page(s) 924-931
DOI: 10.1109/bdcloud.2018.00136

A New Unsupervised Predictive-Model Self-Assessment Approach That SCALEs

Author(s): Francesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii
Published in: 2019 IEEE International Congress on Big Data (BigDataCongress), 2019, Page(s) 144-148
DOI: 10.1109/bigdatacongress.2019.00033