Transforming Greek manufacturing with COREbeat
CORE Group’s all-in-one predictive maintenance platform
is the go-to solution for EP.AL.ME., the leading Greek manufacturer.
Transforming Greek manufacturing with COREbeat
Author: Alexandros Patrikios
April 11th 2024
COREbeat, CORE Group’s signature product, is here to cover an inherent need of the manufacturing sector – the seamless operation of its production machines.
COREbeat is an all-in-one predictive maintenance solution, encompassing compact hardware, AI-infused software, and a web and mobile UI. COREbeat operates through collecting data using its built-in sensors in real-time, then employing machine learning algorithms to detect behavioural anomalies and and provide early notifications of upcoming failures.
The collaboration
Since last summer, COREbeat has been the driving force behind EP.AL.ME.’s predictive maintenance capabilities.
A subsidiary of MYTILINEOS, EP.AL.ME. is an Aluminium Recycling company that specializes in the processing and sorting of scrap metal and the production (smelting) of recycled Aluminium billets. Their collaboration with CORE Group started as part of the e-CODOMH cluster, whose mission is to upgrade entrepreneurship and create an added value in the Greek construction sector.
Installation
The initial installation of beatBox, COREbeat’s hardware component comprising IoT and Computing Edge devices, takes only 2 hours. Upon installation, employees can monitor the behaviour of their machine right away, through COREbeat’s intuitive User Interface. The predictive maintenance capabilities begin at 4 to 6 weeks, and that’s when COREbeat’s Deep Learning magic comes in at full force. After this initial training period, factory employees receive instant notifications through the app for any anomalies. This way, they know immediately whenever the operational health of a machine asset starts declining.
Below, we have some photos of the EP.AL.ME. installation by the COREbeat team.
How COREbeat helped EP.AL.ME.
EP.AL.ME. came to appreciate COREbeat’s predictive maintenance capabilities soon after installation. Maintenance employees at the facility were notified that one of the fans in the aluminum recycling facility was in critical condition, a few days after scheduled maintenance had already taken place. The factory staff, upon inspection, could not find the source of the malfunction, so they continued operating the fan normally.
In the COREbeat interface, the fan kept appearing to be in critical and worsening condition over the span of 2 weeks, which led the staff to pause its operation for an unscheduled maintenance check. During this check, they found an issue with the motor belt of the fan, which they would have missed without COREbeat. This saved the facility from unexpected downtime, delays in the factory’s production pipeline, and substantial losses due to production delays.
Find out more
COREbeat’s success relies on CORE Group’s long experience in the field of machine learning for manufacturing. With a long list of over 40 EU projects, CORE Group is turning into a household name in AI technologies and their industrial applications.
