The team led by Prof. ByengDong Youn, won the first and second prize in international PHM Diagnostic and Data Challenge Competition

- Presented revolutionary techniques for the breakdown of the thermoelectric power plant


▲ Professor ByengDong Youn of Department of Mechanical and Aerospace Engineering
 

Seoul National University College of Engineering (Dean Kunwoo Lee) announced on the 18^th that the research team led by Professor ByengDong Youn of Department of Mechanical and Aerospace Engineering won the first and second prize in the International PHM Diagnostic and Data Challenge Competition, which was held in Jeju Island from July 12^th to 15^th.
The team that achieved excellent results in the process of predicting the operation of the system through real data from industrial sites wins the competition. The competition has been managed by Prognostics and Health Management Society.
Professor Youn received the Best Paper Award that was awarded by the Institute of Electrical and Electronics Engineers (IEEE). In addition, he won successively in International PHM Diagnostic and Data Challenge Competition in the 2014 and 2015. 
This year, Professor Youn and his team, participated the competition with a company OnePredict Inc., which was founded with the support of Laboratory for System Health & Risk Management, and won the first prize.  
The SHRMer team, ranked number one, succeeded in predicting the correct failure time by analyzing the frequency variation characteristic through frequency analysis and Cepstrum, and using Weighted Regression technique. In addition, the Starling team, which was ranked second, proposed a method of separating fault signals using wavelet decomposition packet technology and estimating malfunctions under various conditions using autocorrelation function
In this year’s competition, the mission was to predict the type and timing of the breakdown of the components that constitute the inside gearbox of the differentiator system of the thermal power plant. The technology for predicting the breakdown under various conditions is very remarkable since the failure of a power plant could lead to the worst-ever power shortage.
Professor Youn said, "I believe that preventing the accident in advance is a social responsibility and mission entrusted to mechanical engineers. The achievements of this competition will be an important turning point for newly recognizing the maintenance culture of domestic power plants."
The techniques presented at this year’s competition by Professor Youn will be published as an invited paper in the international journals on failure prediction and health management.

▲The first prize award ceremony



▲The second prize award ceremony