SNU Research Team Led by Professor Youn Byeng-Dong Develops a Fault Visualization Technique for Rotary Machine Systems


▲ Mimetic Diagram of Rotary Machine Fault Visualization Technique (provided by SNU College of Engineering)

 
SNU College of Engineering (Dean Cha Kook-Heon) has announced on 22^nd that researchers in the lab of Youn Byeng-Dong, Professor of Department of Mechanical and Aerospace Engineering, have developed a core technology that visualizes rotary machine faults.
 
The fault diagnosis technique developed by Youn’s team deviates from normal fault diagnostics involving the gearbox in that it can immediately locate causes through two-dimensional visualization of measured signals. In addition, it has the strength of accurately responding to the noises created.
 
Automation of mass industrial production lines and power plants is made possible in accordance with the 4^th Industrial Revolution. However, experts agree that the current fault diagnosis technology has reached its limits; noisy environment hinders the determination of the sources of change through data observation.
 
This visualization technique for fault diagnosis based on measured signals is highly appraised as a core technique due to an increased efficiency of facilities and power plants and an accurate fault handling that minimizes economic and human resource losses.
 
The team says, “This technique may be extended to the visualization of rotor signals in mass automated lines run by industrial robots, power plants with large rotating equipment, etc.” The team also “looks forward for further application of this technique in failure diagnostics, prognostics, and integrated health management design.”
 
The study is also published in the field’s lead journal ‘IEEE Transactions on Industrial Electronics (TIE)’.

▲ SNU Department of Mechanical and Aerospace Engineering Professor Youn Byeng-Dong (provided by SNU College of Engineering)