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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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Farzin Piltan and Jong-Myon Kim
Bearing anomaly recognition using an intelligent digital twin integrated with machine learning.
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Liqiang Guan, Mingxia Zou, Xili Wan and Yifeng Li
This paper investigates the direction identification of micro-cracks with nonlinear components generated by Lamb wave with frequency-mixing technique. Three-dimensional finite element simulations were carried out to investigate the interaction mechanism ...
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