Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error. - Jungho Park; Jong Moon Ha; Hyun-Seok Oh; Byeng D. Youn; Joo Ho Choi; Nam Ho Kim (IEEE Trans. Reliab., 2016)

Toothwise Fault Identification for a Planetary Gearbox Based on a Health Data Map. - Jong Moon Ha; Jungho Park; Kyumin Na; Yunhan Kim; Byeng D. Youn (IEEE Trans. Ind. Electron., 2018)

A Health Data Map-Based Ensemble of Deep Domain Adaptation Under Inhomogeneous Operating Conditions for Fault Diagnosis of a Planetary Gearbox. - Jong Moon Ha; Byeng D. Youn (IEEE Access, 2021)

Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis. - Jong Moon Ha; Olga Fink (CoRR, 2023)

Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem. - Taewan Hwang; Jong Moon Ha; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions. - Jongmin Park; Jinoh Yoo; Taehyung Kim; Jong Moon Ha; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Fault frequency band segmentation and domain adaptation with fault simulated signal for fault diagnosis of rolling element bearings. - Jongmin Park; Jinoh Yoo; Taehyung Kim; Minjung Kim; Jonghyuk Park; Jong Moon Ha; Byeng D. Youn (J. Comput. Des. Eng., 2024)

Spectral kurtosis attention network (SKAN): Synergizing signal processing and deep learning for fault diagnosis of rolling element bearings. - Jongmin Park; Jinoh Yoo; Taehyung Kim; Minjung Kim; Jong Moon Ha; Byeng D. Youn (Expert Syst. Appl., 2025)