Project: Machine Intelligence for Diagnosis Automation
MIDA promotes preventative maintenance in manufacturing plants through the development of a fully automated prototype for oil analysis and fault prediction. The prototype in based on Artificial Intelligence software and online hardware. Oil analysis today is mostly carried out through off-line / off-site procedures and analysed in a laboratory through a standard process. No significant international experience is reported on the use of non statistical procedures for data mining. The innovation of MIDA stands, therefore, on the introduction of machine learning methodologies in oil analysis for fault prevention. The Consortium is developed by 4 Enterprises, coming from 2 MANUNET countries, 2 enterprises works in the manufacture sector, the other 2 in the R&D sector. This guarantees the multidisciplinary and transnational approach of the project to the problems addressed.
| Acronym | MIDA |
| Duration | 01/01/2013 - 31/12/2014 |
| Project Topic | Knowledge-based engineering technologies (computer-aided engineering and design, automated manufacturing, product lifetime management, etc.) |
| Network | MANUNET II |
| Call | MANUNET Call 2012 |