Large scientific infrastructures increasingly depend on availability-driven Operations \& Maintenance (O\&M) models, where every additional hour of uptime translates directly into scientific output. In IFMIF-DONES, this link is especially explicit: higher infrastructure availability enables longer irradiation time and therefore greater throughput and quality of materials data for...
Fusion energy is rapidly transitioning from experimental research to a highly capitalized industrial ambition, with private and public actors targeting near-term deployment of fusion power plants. The cumulative funding in private fusion surged to 13 billion EUR since 2020. The fusion private ecosystem is now larger than ever, with 77 companies and growing. However, beyond the well-known...
The motivation of this work is the development of new methods for selection and combination of multi-source reliability data to obtain useful results within the WPENS project for the IFMIF-DONES facility.
Typically, the component failure rates used in RAMI studies are estimated by the heterogeneous datasets extracted from several sources of different content, structure, and accuracy....
The increasing complexity of fusion facilities demands robust data governance strategies capable of integrating heterogeneous knowledge sources while ensuring semantic consistency, traceability, and regulatory compliance. This talk presents an ontology-based data governance model as the foundational architecture for a Natural Language Query (NLQ) system designed to support maintenance planning...