HEDoctoral network2024–2028

PATRON · The Doctoral Network on Prognostics and heAlth management of nexT GeneRatiOn drivetraiNs

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2024-02-01 → 2028-01-31
EU contribution
€2,659,982
Participants
14
Scheme
HORIZON-TMA-MSCA-DN

Lines connect the coordinator with its partners.

Results in brief

The Doctoral Network on Prognostics and heAlth management of nexT GeneRatiOn drivetraiNs

Europe’s industrial sector creates fantastically complex machines that rely on the synergy of multiple disciplines, such as mechanics, materials science, electronics, mathematics, and computer science. Moreover, the arrival of new technologies as part of Industry 4.0/5.0, Aviation 4.0/5.0 and Agriculture 4.0/5.0 lead to the new generation of drivetrains. PATRON will promote cooperation between top European universities, research institutes, OEMs and industrial stakeholders with an expertise in mechanical engineering, tribology, signal processing, computer science, vibrations, operations & maintenance and data analytics. PATRON will train the new generation of European expert engineers and scientists in the field of Prognostics and Health Management (PHM) for online, on-time, accurate monitoring/fault detection/diagnosis/prognosis for next generation drivetrains for better safety, minimal environmental impact, as well as production and energy efficiency. PATRON will pave the way for Prognostics and Health Management of the new generation of drivetrains, answering to the hot European industrial needs, by developing ground-breaking monitoring approaches, bridging Signal Processing, Physical Modelling, Artificial Intelligence and Tribology. Research objectives: 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. The following sub-objectives have been drawn up to ensure that the objective of PATRON is achieved: • Novel physics inspired machine learning techniques for condition monitoring of planetary gearboxes • Novel monitoring indicators linking vibrations with surface topology • Novel sensing and data analysis techniques based on cameras and fiber optics • New lubrication quality parameters for monitoring of elastohydrodynamically lubricated contacts • New boundary layer interface for reduced friction and wear • New gear contact models including gear cracks and surface pitting propagation • Novel data driven methodologies for diagnostics and prognostics of planetary gearboxes • New data driven model for the estimation of the remaining useful life of rotating machinery • Validation of new prognostics and health management methodologies and technologies for the aerospace, agriculture and general industrial sectors The above-mentioned objectives will be met through the following activities of the PATRON project: Bundling knowledge and research activities in the inter/multidisciplinary fields within PHM involved in the various aspects of condition monitoring and maintenance of drivetrains. Preparing new researchers for challenges ahead in smarter and safer air and land vehicle transport by equipping them with the skills necessary to compete for high-profile positions in industry. Exposing DCs to the world of engineering in Europe, providing them with the necessary industrial anchoring. Providing a stimulating and balanced training program to the DCs that includes not just science and engineering, but the important transferrable skills they will need throughout their careers. Stimulating interactions to match industrial needs with academic research capacity in an exciting training programme for DCs. Motivating the DCs through research & training that is simply not available to them anywhere else in the world Promoting the transfer of knowledge between the project’s participants and to disseminate, communicate and exploit the research outputs to the fullest extent.

Data: CORDIS, © European Union

Project objective

European manufacturing is at the centre of a twin ecological and digital transition, being both driver and subject to these 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 and wear, damage and faults occur. Impressively enough the two communities, Condition Monitoring/Prognostics and Health Management and Tribology, are following separate paths. The proposed PATRON project brings together the two communities and doctoral candidates and experienced specialists from key players in academia and industry across Europe covering different scientific disciplines and industrial stakeholders from a broad range of backgrounds to optimally tackle the challenges ahead. The PATRON Fellows will be trained in innovative PhD topics as well as receiving specific theoretical and practical education in the fields of mechanical engineering and computer science, focusing towards the next generation Prognostics and Health Management techniques.

Original text from CORDIS.

Participants

  • KATHOLIEKE UNIVERSITEIT LEUVEN · LeuvenCoordinatorBelgium
  • ArmaniChisu srl · Bruxelles / BrusselBelgium
  • BONFIGLIOLI SPA · CALDERARA DI RENO BOItaly
  • CNH INDUSTRIAL ITALIA SPA · TorinoItaly
  • IKERLAN S. COOP · MONDRAGONSpain
  • INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON · VILLEURBANNE CEDEXFrance
  • LULEA TEKNISKA UNIVERSITET · LULEASweden
  • Leuven.Inc Stichting · LeuvenBelgium
  • MONDRAGON GOI ESKOLA POLITEKNIKOA JOSE MARIA ARIZMENDIARRIETA S COOP · ARRASATESpain
  • SAFRAN SA · ParisFrance
  • SIEMENS INDUSTRY SOFTWARE NV · LeuvenBelgium
  • UNIVERSITA DEGLI STUDI DI FERRARA · FerraraItaly
  • UNIVERSITE JEAN MONNET · SAINT-ETIENNEFrance
  • UNIVERZA V LJUBLJANI · LjubljanaSlovenia

Links

Data: CORDIS, © European Union