The SUPREEMO experiment developed advanced CPS / IOT technologies and edge/cloud data-analytics, to develop a data-driven approach for equipment fault detection, and test its application for the improvement of Energy Efficiency and to support Predictive Maintenance. The proposed solution is inexpensive and easy to deploy, and is particularly addressed to SMEs seeking cost effective industry 4.0-retrofitting-based solutions, to assist the transition to the Smart Factory era. The focus will be on Electric Motor-Driven Systems (EMDS), used in pumps, fans, compressors, and material handling and processing. They consume around 2/3 of the electrical energy used in industry, their environmental footprint is, therefore, significant; and they have energy efficiency potential estimated as 10% of the global electricity demand.
The experiment included the following:
SUPREEMO was supported financially by H2020 through the 2nd Open Call of MIDIH: “Manufacturing Industry Digital Innovation Hubs” (H2020-FOF-12-2017, GA 767498).
Experiment websites: http://www.ipta.demokritos.gr/supreemo/ & https://midih.eu/experiments/open_call_detail.php?id=37
MIDIH Project website: https://midih.eu/opencalls.php/
MIDIH Cordis URL: https://cordis.europa.eu/project/id/767498