Hyeon Bae Kong

Seoul National University — South Korea

Engineering · Physical Sciences

4h-index91citations6works0.02yr avg
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Research Topics

Structural Health Monitoring Techniques(4), Machine Fault Diagnosis Techniques(3), Ultrasonics and Acoustic Wave Propagation(2), Non-Destructive Testing Techniques(2), Fatigue and fracture mechanics(1)

Publications6 total

A Hybrid Approach of Data-driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth
International Journal of Prognostics and Health Management·2023· 6 citedOpen Access
Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis
Computers in Industry·2021· 5 cited
Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis
Computers in Industry·2020· 37 cited
Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems
IEEE Access·2020· 37 citedOpen Access
Hybrid Approach of Data-Driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth
Annual Conference of the PHM Society·2019· 4 citedOpen Access
An evaluation methodology for 3D deep neural networks using visualization in 3D data classification
Journal of Mechanical Science and Technology·2019· 2 cited

Frequent Co-authors

Joon Ha Jung(5), Myungyon Kim(3), Jin Uk Ko(3), Byeng D. Youn(3), Kyung Ho Sun(3), Soo-Ho Jo(2), Jong Moon Ha(2), Yong Chang Shin(2), Heonjun Yoon(2), Yun-Ho Seo(2), Byung Chul Jeon(2), Jinwook Lee(1), Jin‐Wook Lee(1), HyunTae V. Hwang(1), Soo-Hong Lee(1), Hyung‐gun Chi(1), Nam Kyu Kang(1), Jiaqi Lu(1), Hyungseok Ohk(1)