| A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map CH Park, H Kim, C Suh, M Chae, H Yoon, BD Youn Reliability Engineering & System Safety 226, 108715, 2022 | 44 | 2022 |
| MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines H Kim, CH Park, C Suh, M Chae, H Yoon, BD Youn Journal of Computational Design and Engineering 10 (2), 860-872, 2023 | 15 | 2023 |
| Drive-tolerant current residual variance (DTCRV) for fault detection of a permanent magnet synchronous motor under operational speed and load torque conditions CH Park, J Lee, H Kim, C Suh, M Youn, Y Shin, SH Ahn, BD Youn IEEE Access 9, 49055-49068, 2021 | 13 | 2021 |
| Stator current operation compensation (SCOC): A novel preprocessing method for deep learning-based fault diagnosis of permanent magnet synchronous motors under variable … H Kim, CH Park, C Suh, M Chae, HJ Oh, H Yoon, BD Youn Measurement 221, 113446, 2023 | 9 | 2023 |
| Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data H Kim, JU Ko, K Na, H Lee, H Kim, J Son, H Yoon, BD Youn Expert Systems with Applications 215, 119377, 2023 | 9 | 2023 |
| Self-supervised feature learning for motor fault diagnosis under various torque conditions SK Lee, H Kim, M Chae, HJ Oh, H Yoon, BD Youn Knowledge-Based Systems 288, 111465, 2024 | 4 | 2024 |
| PCDC: Prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors … M Chae, H Kim, HJ Oh, CH Park, C Suh, H Yoon, BD Youn Journal of Computational Design and Engineering, qwae052, 2024 | 3 | 2024 |
Byeng Dong YounSeoul National UniversityZweryfikowany adres z snu.ac.kr