PROGnostics based Reliability Analysis for Maintenance Scheduling

LATEST NEWS

PROGRAMS Project: CALPAK pilot case

CALPAK covers all parts of solar thermal energy systems, producing a complete range of solar collectors, hot storage tanks, complete central solar systems and thermosiphonic systems. Its selling points are both the residential market as well as the industrial market.

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SOCIAL NEWS

How has the Digital Twin been used in maintenance applications?

Learn by reading our paper entitled "Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis" presented at @ICE_Conference in Sophia-Antipolis.

https://t.co/WWqAyvKC8u

Interested in how to enable Digital Twin using physics-based models in predictive maintenance applications?
Read our paper presented at #CIRP #CMS2019 in Ljubljana!
https://t.co/OhC7DA8Smr

.@programsEU partner at @BME_en continue progressing on "Prognostic based realiability analysis for maintenance scheduling". Our colleague @Ander_aoai shows the advances in communication and exploitation workpackage. More info. https://t.co/Gre1AVVNXj
@EFFRA_Live @EU_H2020

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CONSORTIUM

NUMBER OF PARTNERS

COUNTRIES INVOLVED

HIGHLIGHTS

Project leader: IK4-IDEKO

Project leader: FIDIA

Start/end date: October 2016 - September 2019

Start/end date: October 2017 – September 2020

Grant agreement no. 723853

Grant agreement no. 767287

FOF-02-2016

FOF-09-2017