Publications

Peer-reviewed journal articles and conference papers on prognostics and health management, fault diagnosis, and domain-informed machine learning.

211 citations · h-index 7 · i10-index 7 (Google Scholar, June 2026)

Google Scholar Full CV

Journal Articles 12

2026

Frequency-Band Graph-based Sensor Fusion with Sensitivity-aware Energy Assist Network for Machinery System Fault Diagnosis

Sang Kyung Lee, Hyeongmin Kim, Minseok Chae, Hansoo Kim, Joonho Yang, Heonjun Yoon, Byeng D. Youn

Engineering Applications of Artificial Intelligence, Vol. 179
2026

Center Margin Loss-based Uncertainty-aware Fault Diagnosis for Rotating Machines to Identify Unseen Faults

Hyeongmin Kim, Minseok Chae, Hansoo Kim, Sang Kyung Lee, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn

Journal of Computational Design and Engineering Accepted
2026

An Adapter-Enhanced, Fourier Feature Deep Operator Network for Fault Severity Estimation of Stator Inter-Turn Short Circuits in Induction Motors

Minseok Chae, Hyeongmin Kim, Sang Kyung Lee, Hansoo Kim, Joonho Yang, Heonjun Yoon, Byeng D. Youn

Engineering Applications of Artificial Intelligence, Vol. 170
2025

Deep Learning-based Rapid and Precise Die Design to Compensate Springback in Metallic Bipolar Plate Stamping for Proton Exchange Membrane Fuel Cells

Hyeongmin Kim, Sangwook Lee, Donghyu Lee, Florian Hüsing, Henning Janssen, Christian Brecher, Byeng D. Youn

Measurement Under Revision
2025

FL-SSDAN: Fleet-Level Semi-Supervised Domain Adaptation Network for Fault Diagnosis of Overhead Hoist Transports

Chaehyun Suh^†, Hyeongmin Kim^†, Chan Hee Park, Minseok Chae, Joung Taek Yoon, Ilkyu Lee, Heonjun Yoon, Byeng D. Youn

Journal of Computational Design and Engineering, Vol. 12(7), pp. 49–60
2024

Self-supervised Feature Learning for Motor Fault Diagnosis Under Various Torque Conditions

Sang Kyung Lee, Hyeongmin Kim, Minseok Chae, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn

Knowledge-Based Systems, Vol. 288
2024

PCDC: Prototype-assisted Dual-contrastive Learning with Depthwise Separable Convolutional Neural Network for Few-shot Fault Diagnosis of Permanent Magnet Synchronous Motors Under New Operating Conditions

Minseok Chae, Hyeongmin Kim, Hye Jun Oh, Chan Hee Park, Chaehyun Suh, Heonjun Yoon, Byeng D. Youn

Journal of Computational Design and Engineering, Vol. 11, pp. 337–358
2023

Stator Current Operation Compensation (SCOC): A Novel Preprocessing Method for Deep Learning-based Fault Diagnosis of Permanent Magnet Synchronous Motors Under Variable Operating Conditions

Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn

Measurement, Vol. 221
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 Systems with Applications, Vol. 215, 119377
2023

MPARN: Multi-scale Path Attention Residual Network for Fault Diagnosis of Rotating Machines

Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn

Journal of Computational Design and Engineering, Vol. 10(2), pp. 860–872
2022

A Health Image for Deep Learning-based Fault Diagnosis of a Permanent Magnet Synchronous Motor Under Variable Operating Conditions: Instantaneous Current Residual Map

Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn

Reliability Engineering & System Safety, Vol. 226
2021

Drive-tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions

Chan Hee Park, Junmin Lee, Hyeongmin Kim, Chaehyun Suh, Myeongbaek Youn, Yongjin Shin, Sung-Hoon Ahn, Byeng D. Youn

IEEE Access, Vol. 9, pp. 49055–49068

Conference Proceedings 15

2025

Self-supervised Stator Current Representation Learning for Motor Fault Diagnosis

Sang Kyung Lee, Hyeongmin Kim, Minseok Chae, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn

ASME IDETC-CIE 2025
2024

Window Size and Sampling Rate Selection for Cost-optimal Deep Learning-based Fault Diagnosis

Hyeongmin Kim, Byeng D. Youn

Asian Congress of Structural and Multidisciplinary Optimization (ACSMO) 2024
2023

MALSTM-MCN Ensemble Learning-based Planetary Gearbox Fault Diagnosis Method

Hye Jun Oh, Jinoh Yoo, Tae Hyung Kim, Minjung Kim, Hyeongmin Kim

IEEE International Conference on Prognostics and Health Management (PHM) 2023
2023

Convolutional Auto-Encoder Based Boiler Tube Leakage Detection Method in a Thermal Power Plant

Hyeongmin Kim, Kyumin Na, Jin Uk Ko, Heonjun Yoon, Byeng D. Youn

ASME IDETC-CIE 2023
2023

Few-Shot Learning Method for Fault Diagnosis of Permanent Magnet Synchronous Motors Under New Operating Conditions

Minseok Chae, Hyeongmin Kim, Hye Jun Oh, Chan Hee Park, Heonjun Yoon, Byeng D. Youn

ASME IDETC-CIE 2023
2022

A Multi-scale Residual Network with Attention Mechanism for Fault Diagnosis of Rotating Machines

Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn

ASME IDETC-CIE 2022
2022

Reinforcement Learning-based Optimal Parameter Estimation of Ultra Precision Machine

Hyeongmin Kim, Maximilian Kosel, Byeng D. Youn

International Conference on Energy, Aquatech and Sustainability 2022
2021

A Probabilistic Threshold Considering Probability Distribution of Reconstruction Error on a Latent Space for Anomaly Detection Using AutoEncoder

Kyumin Na, Jin Uk Ko, Hyeongmin Kim, Byeng D. Youn

Asia Pacific Conference of the PHM Society (PHMAP) 2021
2021

A Novel Health Feature for Fault Diagnosis of a Servo Motor Under Non-stationary Conditions

Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn

Asia Pacific Conference of the PHM Society (PHMAP) 2021
2021

Anomaly Detection of Multichannel Complex Industrial Systems Using Physically Grouped Neural Networks

Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn

Asia Pacific Conference of the PHM Society (PHMAP) 2021
2021

Physics-informed Convolutional Neural Network based Fault Diagnosis for Overhead Hoist Transports

Chaehyun Suh, Chan Hee Park, Hyeongmin Kim, Minseok Chae, Heonjun Yoon, Byeng D. Youn

Asia Pacific Conference of the PHM Society (PHMAP) 2021
2021

Intelligent Fault Diagnosis and Signal Forecasting for Prognostics and Health Management of an Oil-injection Screw Compressor

Donghyu Lee, Jinwook Lee, Hyeongmin Kim, Hwayong Jeong, Dowan Kim, Byeng D. Youn

Asia Pacific Conference of the PHM Society (PHMAP) 2021
2021

A Physics-informed Feature Engineering Approach to Boiler Tube Diagnosis

Hyeonchan Lee, Kyumin Na, Hyeongmin Kim, Byeng Dong Youn

Asia Pacific Conference of the PHM Society (PHMAP) 2021
2021

A Novel Deep Learning-based Fault Diagnosis of a Servo Motor Under Non-stationary Conditions

Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn

International Conference on Energy, Aquatech and Sustainability 2021
2020

Domain Adversarial Neural Network based Unit Adaptation Method for Fault Detection of Overhead Hoist Transports

Chaehyun Suh, Chan Hee Park, Hyeongmin Kim, Byeng D. Youn

International Symposium on Precision Engineering and Sustainable Manufacturing 2020

Publications

Journal Articles 12

Frequency-Band Graph-based Sensor Fusion with Sensitivity-aware Energy Assist Network for Machinery System Fault Diagnosis

Center Margin Loss-based Uncertainty-aware Fault Diagnosis for Rotating Machines to Identify Unseen Faults

An Adapter-Enhanced, Fourier Feature Deep Operator Network for Fault Severity Estimation of Stator Inter-Turn Short Circuits in Induction Motors

Deep Learning-based Rapid and Precise Die Design to Compensate Springback in Metallic Bipolar Plate Stamping for Proton Exchange Membrane Fuel Cells

FL-SSDAN: Fleet-Level Semi-Supervised Domain Adaptation Network for Fault Diagnosis of Overhead Hoist Transports

Self-supervised Feature Learning for Motor Fault Diagnosis Under Various Torque Conditions

PCDC: Prototype-assisted Dual-contrastive Learning with Depthwise Separable Convolutional Neural Network for Few-shot Fault Diagnosis of Permanent Magnet Synchronous Motors Under New Operating Conditions

Stator Current Operation Compensation (SCOC): A Novel Preprocessing Method for Deep Learning-based Fault Diagnosis of Permanent Magnet Synchronous Motors Under Variable Operating Conditions

Opt-TCAE: Optimal Temporal Convolutional Auto-encoder for Boiler Tube Leakage Detection in a Thermal Power Plant Using Multi-sensor Data

MPARN: Multi-scale Path Attention Residual Network for Fault Diagnosis of Rotating Machines

A Health Image for Deep Learning-based Fault Diagnosis of a Permanent Magnet Synchronous Motor Under Variable Operating Conditions: Instantaneous Current Residual Map

Drive-tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions

Conference Proceedings 15

Self-supervised Stator Current Representation Learning for Motor Fault Diagnosis

Window Size and Sampling Rate Selection for Cost-optimal Deep Learning-based Fault Diagnosis

MALSTM-MCN Ensemble Learning-based Planetary Gearbox Fault Diagnosis Method

Convolutional Auto-Encoder Based Boiler Tube Leakage Detection Method in a Thermal Power Plant

Few-Shot Learning Method for Fault Diagnosis of Permanent Magnet Synchronous Motors Under New Operating Conditions

A Multi-scale Residual Network with Attention Mechanism for Fault Diagnosis of Rotating Machines

Reinforcement Learning-based Optimal Parameter Estimation of Ultra Precision Machine

A Probabilistic Threshold Considering Probability Distribution of Reconstruction Error on a Latent Space for Anomaly Detection Using AutoEncoder

A Novel Health Feature for Fault Diagnosis of a Servo Motor Under Non-stationary Conditions

Anomaly Detection of Multichannel Complex Industrial Systems Using Physically Grouped Neural Networks

Physics-informed Convolutional Neural Network based Fault Diagnosis for Overhead Hoist Transports

Intelligent Fault Diagnosis and Signal Forecasting for Prognostics and Health Management of an Oil-injection Screw Compressor

A Physics-informed Feature Engineering Approach to Boiler Tube Diagnosis

A Novel Deep Learning-based Fault Diagnosis of a Servo Motor Under Non-stationary Conditions

Domain Adversarial Neural Network based Unit Adaptation Method for Fault Detection of Overhead Hoist Transports