Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems. - Myungyon Kim; Joon Ha Jung; Jin Uk Ko; Hyeon Bae Kong; Jinwook Lee; Byeng Dong Youn (IEEE Access, 2020)

Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis. - Joon Ha Jung; Myungyon Kim; Jin Uk Ko; Hyeon Bae Kong; Byeng D. Youn; Kyung Ho Sun (Comput. Ind., 2021)

Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis. - Jin Uk Ko; Joon Ha Jung; Myungyon Kim; Hyeon Bae Kong; Jinwook Lee; Byeng D. Youn (Comput. Ind., 2021)

A new auto-encoder-based dynamic threshold to reduce false alarm rate for anomaly detection of steam turbines. - Jin Uk Ko; Kyumin Na; Joon-Seok Oh; Jaedong Kim; Byeng D. Youn (Expert Syst. Appl., 2022)

Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery. - Jinwook Lee; Myungyon Kim; Jin Uk Ko; Joon Ha Jung; Kyung Ho Sun; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2022)

Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem. - Jin Uk Ko; Jinwook Lee; Taehun Kim; Yong Chae Kim; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data. - Hyeongmin Kim; Jin Uk Ko; Kyumin Na; Hyeonchan Lee; Hee-soo Kim; Jong-Duk Son; Heonjun Yoon; Byeng D. Youn (Expert Syst. Appl., 2023)

Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths. - Jin Uk Ko; Jinwook Lee; Taehun Kim; Yong Chae Kim; Byeng D. Youn (Expert Syst. Appl., 2023)

Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery. - Taehun Kim; Jin Uk Ko; Jinwook Lee; Yong Chae Kim; Joon Ha Jung; Byeng D. Youn (Adv. Eng. Informatics, 2024)

Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery. - Yong Chae Kim; Jin Uk Ko; Jinwook Lee; Taehun Kim; Joon Ha Jung; Byeng D. Youn (Adv. Eng. Informatics, 2024)

Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance. - Jinwook Lee; Jin Uk Ko; Taehun Kim; Yong Chae Kim; Joon Ha Jung; Byeng D. Youn (Expert Syst. Appl., 2024)

Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing. - Yong Chae Kim; Jinwook Lee; Taehun Kim; Jonghwa Baek; Jin Uk Ko; Joon Ha Jung; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2024)