Outstanding presence of IDEKO at the CIRP General Assembly, the most important international forum on Advanced Manufacturing.
For IDEKO it is a real pride to have a researcher of the stature of Xavier Beudaert on our team.
Highlights from SEA4DQ 2021 – the 1st International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems.
Written by Phu Nguyen, SINTEF, Norway.
Q-DAS’s main objective in the InterQ project is the development of a digital twin of a real production line of its project partners.
InterQ-Process aims at controlling the quality of the manufacturing processes and equipment.
Digital technologies for assessment and prevention of vibration related quality issues in grinding applications.
Module Work is actively developing CAM technologies that can pay the way to the use of digital twins and artificial intelligence.
The InterQ consortium has created an animated video to explain the main features of the project.
One of the major challenges for Zero-Defect-Manufacturing is the analysis of massive raw datasets.
The objective is clear, to manufacture engines that drastically reduce CO2 consumption and the cost of use.
The origin of the idea of the project came up from the monitoring and digitalization of manufacturing processes and lines.
1st International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems
How can software engineering and artificial intelligence (AI) help manage and tame data quality issues in CPS?
InterQ project kicks off with high involvement of all participants and an advanced definition of first working stages
On November 3rd, 2020, a plenary meeting of the InterQ project took place through videoconference.
InterQ is an alliance made up of 25 European partners from 11 countries.