| Scalable and unsupervised feature engineering using vibration-imaging and deep learning for rotor system diagnosis H Oh, JH Jung, BC Jeon, BD Youn IEEE Transactions on Industrial Electronics 65 (4), 3539-3549, 2017 | 147 | 2017 |
| Omnidirectional regeneration (ODR) of proximity sensor signals for robust diagnosis of journal bearing systems JH Jung, BC Jeon, BD Youn, M Kim, D Kim, Y Kim Mechanical Systems and Signal Processing 90, 189-207, 2017 | 56 | 2017 |
| A probabilistic detectability-based sensor network design method for system health monitoring and prognostics P Wang, BD Youn, C Hu, JM Ha, B Jeon Journal of Intelligent Material Systems and Structures 26 (9), 1079-1090, 2015 | 34 | 2015 |
| Datum unit optimization for robustness of a journal bearing diagnosis system BC Jeon, JH Jung, BD Youn, YW Kim, YC Bae International Journal of Precision Engineering and Manufacturing 16, 2411-2425, 2015 | 33 | 2015 |
| Damage detection in a plate using beam-focused shear-horizontal wave magnetostrictive patch transducers JS Lee, HW Kim, BC Jeon, SH Cho, YY Kim AIAA journal 48 (3), 654-663, 2010 | 26 | 2010 |
| Statistical approach to diagnostic rules for various malfunctions of journal bearing system using fisher discriminant analysis B Jeon, J Jung, BD Youn, Y Kim, YC Bae PHM Society European Conference 2 (1), 2014 | 17 | 2014 |
| Smart diagnosis of journal bearing rotor systems: Unsupervised feature extraction scheme by deep learning H Oh, BC Jeon, JH Jung, BD Youn Annual Conference of the PHM Society 8 (1), 2016 | 15 | 2016 |
| Optimal vibration image size determination for convolutional neural network based fluid-film rotor-bearing system diagnosis BC Jeon, JH Jung, M Kim, KH Sun, BD Youn Journal of Mechanical Science and Technology 34, 1467-1474, 2020 | 8 | 2020 |
| A hybrid approach of data-driven and physics-based methods for estimation and prediction of fatigue crack growth HB Kong, SH Jo, JH Jung, JM Ha, YC Shin, H Yoon, KH Sun, YH Seo, ... International Journal of Prognostics and Health Management 11 (1), 2020 | 8 | 2020 |
| Evaluation of datum unit for diagnostics of journal-bearing systems B Jeon, J Jung, BD Youn, YW Kim, YC Bae Transactions of the Korean Society of Mechanical Engineers A 39 (8), 801-806, 2015 | 7 | 2015 |
| Anomaly diagnostics for rotor system using statistical analysis of vibration signal B Jeon, J Jung, BD Youn Proceedings of the Korean Society for Noise and Vibration Engineering …, 2013 | 7 | 2013 |
| System and method for automatic diagnosis of power generation facility YW Kim, DH Kim, DY Lee, BS Kim, JP Hong, JH Jung, BC Jeon US Patent App. 16/611,450, 2021 | 1 | 2021 |
| Apparatus and method for diagnosing rotor shaft BD Youn, BC Jeon, JH Jung US Patent 10,520,354, 2019 | 1 | 2019 |
| Omni-directional regeneration (ODR) of gap sensor signal for journal bearing system diagnosis JH Jung, BC Jeon, BD Youn, D Kim, Y Kim Annual Conference of the PHM Society 7 (1), 2015 | 1 | 2015 |
| Optimal Datum Unit Definition for Diagnostics of Journal Bearing System BD Youn, J Jung, B Jeon, YW Kim, YC Bae Proceedings of the Korean Society for Noise and Vibration Engineering …, 2014 | 1 | 2014 |
| Unsupervised Fault Diagnosis of Journal Bearing Rotor System with Heterogeneous Data H Oh, BC Jeon, JH Jung, BD Youn PHM Society Asia-Pacific Conference 1 (1), 2017 | | 2017 |
| Diagnostics for journal bearing system based on FDR feature selection B Jeon, J Jung, BD Youn, YW Kim, YC Bae Proceedings of the Korean Society for Noise and Vibration Engineering …, 2014 | | 2014 |
| Abnormal Condition Modeling and Validation of RK4 Multi Axis Rotor System KB Kwon, JS Han, BC Jeon, J Jung, BD Youn Proceedings of the Korean Society for Noise and Vibration Engineering …, 2014 | | 2014 |
| Modeling and Validation of RK4 Multi Axis Rotor system KB Kwonn, JS Han, BC Jeon, J Jung, BD Youn Proceedings of the Korean Society for Noise and Vibration Engineering …, 2014 | | 2014 |
| Diagnostics of Journal Bearing System Using Coordinate Transformed Vibration Signals BD Youn, B Jeon, J Jung, D Kim, SM Sohn Proceedings of the Korean Society for Noise and Vibration Engineering …, 2014 | | 2014 |
