Notice

Academic-Industry Collaboration Forum Explores “Feasibility of Detecting System Anomalies Using Operational Data Only”

A special seminar featuring Professor Yu Ding from Georgia Institute of Technology was successfully held on the afternoon of July 17th at Room N104, Building 110.

The seminar, titled “Is a data-driven fault early warning possible for wind turbine systems?”, drew approximately 30 participants, including five representatives from Korea East-West Power Company and faculty members and students from the Department of Industrial Engineering.

During his presentation, Professor Ding introduced methodologies for detecting anomalous signs in wind turbine systems using operational data alone, before actual failures occur. He specifically demonstrated the practical applicability of theoretical approaches through machine learning project case studies conducted in his graduate courses at Georgia Tech.

Seminar attendees gained valuable insights into preventive maintenance strategy development and system reliability improvement approaches. The presentation was followed by an engaging Q&A session that facilitated active discussions between industry practitioners and academic researchers.

This seminar has been recognized as a meaningful opportunity to understand current trends in convergence research between data science and wind energy sectors, while exploring future directions for academic-industry collaboration.