ArrayConferences such as HND in Zadar play an important role in promoting international cooperation and the exchange of experiences in the field of nuclear energy.
At the event, we presented the paper “Data-Driven Regression Approaches for Early Anomaly Detection in Medium-Voltage Electric Motors,” which focuses on the reliability of medium-voltage electric motors—critical equipment in nuclear power plants.
In the article, we demonstrated how, by using regression models and analyzing multi-year operational data (temperature, vibrations, currents), we can identify early signs of degradation in critical equipment that are often overlooked by conventional alarm systems. This approach enables timely maintenance planning, optimizes monitoring, and significantly contributes to the long-term reliability of critical equipment.
Thank you to the organizers for an excellent conference and the opportunity for professional knowledge exchange.
