The “HonNetwork” team, consisting of master’s students Seungyun Lee and Taehun Kim from the Laboratory for System Health & Risk Management of Professor Byeng Dong Youn of the Department of Mechanical Engineering at Seoul National University won the Encouragement Award (3rd place) at the "3rd EWP Power Big Data AI Competition" hosted and organized by the Korea East-West Power and Korea Industrial Engineering Association.



This competition was promoted to promote the artificial intelligence of the power generation industry by disclosing the power generation industry data to the outside, support experts and companies who want to commercialize the power generation industry with AI technology, and contribute to the development of related industries. Accordingly, a total of 50 teams participated and competed with the goal of predicting wind power generation and diagnosing abnormalities in combined cycle power steam turbine performance. The purpose of the “Combined Thermal Steam Turbine System Output and Performance Abnormality Diagnosis” project supported by the HonNetwork team is to supply the heat generated from the gas turbine to the steam turbine through the exhaust heat recovery boiler. This was to prevent it from lowering. By using the data of the combined cycle power generation system including 400 sensors, the sensor signals that have a great influence the actual leakage were identified, and an appropriate machine learning and deep learning structure was designed to achieve the intended result.



In connection with this award, Professor Byeng Dong Youn added, "In addition to developing an AI model to improve the abnormal diagnosis performance of facilities, research the explanation/interpretability of the AI ​​model results should be continued to apply it to actual industries."