| Gear fault diagnosis using transmission error and ensemble empirical mode decomposition S Park, S Kim, JH Choi Mechanical Systems and Signal Processing 108, 262-275, 2018 | 127 | 2018 |
| Diagnostics 101: A tutorial for fault diagnostics of rolling element bearing using envelope analysis in matlab S Kim, D An, JH Choi Applied Sciences 10 (20), 7302, 2020 | 53 | 2020 |
| Convolutional neural network for gear fault diagnosis based on signal segmentation approach S Kim, JH Choi Structural Health Monitoring 18 (5-6), 1401-1415, 2019 | 53 | 2019 |
| Prediction of remaining useful life by data augmentation technique based on dynamic time warping S Kim, NH Kim, JH Choi Mechanical Systems and Signal Processing 136, 106486, 2020 | 43 | 2020 |
| A novel prognostics approach using shifting kernel particle filter of Li-ion batteries under state changes S Kim, HJ Park, JH Choi, D Kwon IEEE Transactions on Industrial Electronics 68 (4), 3485-3493, 2020 | 40 | 2020 |
| Frequency energy shift method for bearing fault prognosis using microphone sensor J Park, S Kim, JH Choi, SH Lee Mechanical Systems and Signal Processing 147, 107068, 2021 | 38 | 2021 |
| Ranked feature-based laser material processing monitoring and defect diagnosis using k-NN and SVM SH Lee, J Mazumder, J Park, S Kim Journal of Manufacturing Processes 55, 307-316, 2020 | 33 | 2020 |
| A comparative study of fault diagnosis for train door system: traditional versus deep learning approaches S Ham, SY Han, S Kim, HJ Park, KJ Park, JH Choi Sensors 19 (23), 5160, 2019 | 23 | 2019 |
| A new prognostics approach for bearing based on entropy decrease and comparison with existing methods S Kim, S Park, JW Kim, J Han, D An, NH Kim, JH Choi Annual conference of the phm society 8 (1), 2016 | 22 | 2016 |
| Feature extraction for bearing prognostics using weighted correlation of fault frequencies over cycles C Lim, S Kim, YH Seo, JH Choi Structural Health Monitoring 19 (6), 1808-1820, 2020 | 21 | 2020 |
| A tutorial for feature engineering in the prognostics and health management of gears and bearings J Sim, S Kim, HJ Park, JH Choi Applied Sciences 10 (16), 5639, 2020 | 21 | 2020 |
| Challenges and opportunities of system-level prognostics S Kim, JH Choi, NH Kim Sensors 21 (22), 7655, 2021 | 19 | 2021 |
| Transfer learning-based fault diagnosis under data deficiency SH Cho, S Kim, JH Choi Applied Sciences 10 (21), 7768, 2020 | 19 | 2020 |
| Data-driven prognostics with low-fidelity physical information for digital twin: physics-informed neural network S Kim, JH Choi, NH Kim Structural and Multidisciplinary Optimization 65 (9), 255, 2022 | 17 | 2022 |
| Inspection schedule for prognostics with uncertainty management S Kim, JH Choi, NH Kim Reliability Engineering & System Safety 222, 108391, 2022 | 14 | 2022 |
| Feature extraction for bearing prognostics based on frequency energy S Kim, JH Choi, D An The journal of the Korea institute of intelligent transport systems 16 (2 …, 2017 | 14 | 2017 |
| Neural network based aircraft engine health management using C-MAPSS data Y Yun, S Kim, SH Cho, JH Choi Journal of aerospace system engineering 13 (6), 17-25, 2019 | 7 | 2019 |
| A Robust Health Indicator for Rotating Machinery under Time-Varying Operating Conditions S Kim, HJ Park, YH Seo, JH Choi IEEE Access, 2022 | 6 | 2022 |
| A study toward appropriate architecture of system-level prognostics: physics-based and data-driven approaches S Kim, NH Kim, JH Choi IEEE Access 9, 157960-157972, 2021 | 6 | 2021 |
| Machine health assessment based on an anomaly indicator using a generative adversarial network HJ Park, S Kim, SY Han, S Ham, KJ Park, JH Choi International Journal of Precision Engineering and Manufacturing 22 (6 …, 2021 | 6 | 2021 |
Joo-Ho ChoiKorea Aerospace University在 kau.ac.kr 的电子邮件经过验证
