SOURCE-LINKED INTELLIGENCE
The Doctoral Network on Prognostics and heAlth management of nexT GeneRatiOn drivetraiNs
e changes. At the same time, manufacturing companies must maintain technological leadership and stay competitive. The size and the complexity of the associated challenges - such as the integration of Artificial Intelligence, the use of industrial data, the transformation into a circular economy and the need for agility and responsiveness - requires pooling of resources and a novel approach of cooperation. The objective of the PATRON project is to develop the next generation of PHM methodologies, algorithms and technologies, so enabling condition monitoring, with the focus on real-time diagnostics and prognostics. This objective will be achieved by having 10 Doctoral Candidates (DCs) working closely and interacting frequently in this inter-disciplinary and multi-disciplinary area. Despite remarkable progresses in health monitoring boosted by new technologies and AI, most approaches still rely on the use of rudimentary HIs defined more than half a century ago. On the other hand the Community of Tribology is working at the micro and the macroscale of the contacts where loads are applied
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2659982.4
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.