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Farzin Piltan, Cheol-Hong Kim and Jong-Myon Kim
Bearings cause the most breakdowns in induction motors, which can result in significant economic losses. If faults in the bearings are not detected in time, they can cause the whole system to fail. System failures can lead to unexpected breakdowns, threa...
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Md Arafat Habib, Cheol Hong Kim and Jong-Myon Kim
This study aims at characterizing crack types for reinforced concrete beams through the use of acoustic emission burst (AEB) features. The study includes developing a solid crack assessment indicator (CAI) accompanied by a crack detection method using th...
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Bach Phi Duong, Jaeyoung Kim, Cheol-Hong Kim and Jong-Myon Kim
Advances in technology have enhanced the ability to detect leakages in boiler tube components in thermal power plants. As a specific issue, the interaction between the coal fuel stream and the boiler tube membrane generates random and high-amplitude impu...
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Farzin Piltan, Cheol-Hong Kim and Jong-Myon Kim
Continuum robots represent a class of highly sensitive, multiple-degrees-of-freedom robots that are biologically inspired. Because of their flexibility and accuracy, these robots can be used in maxillary sinus surgery. The design of an effective procedur...
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Hung Ngoc Nguyen, Cheol-Hong Kim and Jong-Myon Kim
Exact evaluation of the degradation levels in bearing defects is one of the most essential works in bearing condition monitoring. This paper proposed an efficient evaluation method using a deep neural network (DNN) for correct prediction of degradation l...
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