The Industrial Intelligence Laboratory, led by Professor Sunghoon Lim in the Department of Industrial Engineering and the Graduate School of Artificial Intelligence at UNIST has announced that it has been honored with the Most Novel Contribution Award during the Doctoral Symposium, held at the 16th Annual Conference of the PHM Society, hosted by the Prognostics and Health Management Society (PHM Society), a non-profit organization in the United States dedicated to the advancement of PHM as an engineering discipline. This prestigious recognition reflects the valuable contributions of a research team led by Dr. Jae Geyong Choi and Professor Hyung Wook Park from the Department of Mechanical Engineering at UNIST.
The research team introduced an innovative method for generating images of processed surfaces using time-series sensor data. This approach allows for the early detection and prevention of minor defects that may arise during manufacturing, thereby enhancing industrial efficiency and delivering superior products to consumers.
Surpassing traditional defect detection techniques, this technology integrates diverse types of sensor data with generative AI. It provides a visual analysis of potential defects that may occur throughout the manufacturing process, garnering significant attention from industry experts for its unique ability to predict multiple defects concurrently on processing surfaces.
The PHM Society is a globally recognized organization dedicated to the advancement of prediction and management practices in industrial facilities. The doctoral symposium serves as a platform for Ph.D. candidates to present their research findings and engage with leading experts in the field, while also conferring awards to those whose work is deemed most creative and impactful.
This notable achievement paves the way for enhanced reliability in manufacturing processes and the reduction of maintenance costs, with promising practical applications anticipated across various industrial sectors.
“We plan to develop this achievement into a scholarly paper and commit ourselves to overcoming the limitations of PHM technology,” stated Dr. Jae Geyong Choi. Co-researcher Dr. Yun Seok Kang added, “Our research is poised to contribute to the advancement of defect detection and preventive maintenance technologies across diverse industrial environments.”
