The Korea Institute of Machinery and Materials (KIMM, President Ryu Seok-hyun) has expanded PHM technology and data ecosystem, and laid the foundation for digital transformation toward discovering industry-tailored AI talent and autonomous manufacturing.

The 'KSPHM-KIMM Machine Data Challenge', co-hosted by the Korea Institute of Machinery and Materials and the Korean PHM Society to develop artificial intelligence (AI)-based machine diagnostic technology, has concluded successfully.

This competition was held as a special session of the PHM Korea 2025 regular academic conference, and attracted great interest from participants as a competition format to develop a predictive diagnosis (PHM) algorithm based on data from industrial sites.

A total of 61 teams and 171 people participated in this challenge, competing in terms of accuracy and creativity of data-based machine failure prediction and remaining life prediction algorithms.

The grand prize went to the SSbearing team of Korea Aerospace University (representative Baek Hyeon-jin), followed by Korea University of Engineering and Technology, Ajou University, and Hongik University.

In particular, this competition provided a more practical algorithm development experience by utilizing actual industrial data such as bearing vibration, failure history, and operating conditions.

The Korea Institute of Machinery and Materials provided the competition data, and Ajou University was in charge of the operation, demonstrating the collaboration between industry, academia and research.

Seon Kyung-ho, team leader of the Machinery Research Institute's Data Platform Research Team, said, "Based on real data collected from industrial sites,“It is very significant in that it provides an open platform where AI algorithms can be developed and evaluated directly,” he said.

Ryu Seok-hyun, the president of the Korea Institute of Machinery and Materials, said, “AI-PHM technology is the core of autonomous manufacturing, and at the center of it is reliable machine data.” He added, “We will actively support the creation of a predictive diagnosis ecosystem by building a data platform and so that AI technology can be practically utilized across the machinery industry.”

Information about the competition can be found on the website of the Korean PHM Society.