| Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery J Lee, M Kim, JU Ko, JH Jung, KH Sun, BD Youn Reliability Engineering & System Safety 218, 108186, 2022 | 49 | 2022 |
| A Domain Adaptation with Semantic Clustering (DASC) method for fault diagnosis of rotating machinery M Kim, JU Ko, J Lee, BD Youn, JH Jung, KH Sun ISA transactions 120, 372-382, 2022 | 48 | 2022 |
| Direct connection-based convolutional neural network (DC-CNN) for fault diagnosis of rotor systems M Kim, JH Jung, JU Ko, HB Kong, J Lee, BD Youn IEEE Access 8, 172043-172056, 2020 | 30 | 2020 |
| Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis JU Ko, JH Jung, M Kim, HB Kong, J Lee, BD Youn Computers in Industry 125, 103385, 2021 | 27 | 2021 |
| Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem JU Ko, J Lee, T Kim, YC Kim, BD Youn Journal of Computational Design and Engineering 10 (2), 694-710, 2023 | 6 | 2023 |
| Domain adaptation based fault diagnosis under variable operating conditions of a rock drill YC Kim, T Kim, JU Ko, J Lee, K Kim International Journal of Prognostics and Health Management 14 (2), 2023 | 1 | 2023 |
| Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance J Lee, JU Ko, T Kim, YC Kim, JH Jung, BD Youn Expert Systems with Applications 243, 122910, 2024 | | 2024 |
| Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths JU Ko, J Lee, T Kim, YC Kim, BD Youn Expert Systems with Applications 227, 120255, 2023 | | 2023 |
