Jong Moon Ha

According to our database, Jong Moon Ha authored at least 8 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

2024

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

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., July, 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., July, 2023

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

2021

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

2018

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

2016

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