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Yong Chae Kim
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2020 – today
- 2024
- [j6]Taehun Kim, Jin Uk Ko, Jinwook Lee, Yong Chae Kim, Joon Ha Jung, Byeng D. Youn:
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery. Adv. Eng. Informatics 62: 102821 (2024) - [j5]Yong Chae Kim, Jin Uk Ko, Jinwook Lee, Taehun Kim, Joon Ha Jung, Byeng D. Youn:
Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery. Adv. Eng. Informatics 62: 102862 (2024) - [j4]Jinwook Lee, Jin Uk Ko, Taehun Kim, Yong Chae Kim
, Joon Ha Jung, Byeng D. Youn:
Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance. Expert Syst. Appl. 243: 122910 (2024) - [j3]Yong Chae Kim
Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing. Reliab. Eng. Syst. Saf. 250: 110293 (2024) - 2023
- [j2]Jin Uk Ko, Jinwook Lee
Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths. Expert Syst. Appl. 227: 120255 (2023) - [j1]Jin Uk Ko
Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem. J. Comput. Des. Eng. 10(2): 694-710 (2023)
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