Heonjun Yoon

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
An adapter-enhanced, Fourier feature deep operator network for fault severity estimation of stator inter-turn short circuits in induction motors.
Eng. Appl. Artif. Intell.
Minseok Chae, Hyeongmin Kim, Sang Kyung Lee, Hansoo Kim, Joonho Yang, Heonjun Yoon, Byeng D. Youn
2026 J jnl
Multi-scale signal transformer with signal processing-based attention interpretation for fault diagnosis of rotating machinery under variable speed conditions.
Reliab. Eng. Syst. Saf.
Sungjong Kim, Seungyun Lee, Jiwon Lee, Minjae Kim, Heonjun Yoon, Byeng D. Youn
2025 J jnl
FL-SSDAN: Fleet-level semi-supervised domain adaptation network for fault diagnosis of overhead hoist transports.
J. Comput. Des. Eng.
Chaehyun Suh, Hyeongmin Kim, Chan Hee Park, Minseok Chae, Joung Taek Yoon, Ilkyu Lee, Heonjun Yoon, Byeng D. Youn
2024 J jnl
FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions.
Expert Syst. Appl.
Kyumin Na, Yunhan Kim, Heonjun Yoon, Byeng D. Youn
2024 J jnl
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.
J. Comput. Des. Eng.
Minseok Chae, Hyeongmin Kim, Hye Jun Oh, Chan Hee Park, Chaehyun Suh, Heonjun Yoon, Byeng D. Youn
2024 J jnl
Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions.
Expert Syst. Appl.
Seungyun Lee, Sungjong Kim, Su J. Kim, Jiwon Lee, Heonjun Yoon, Byeng D. Youn
2024 J jnl
Self-supervised feature learning for motor fault diagnosis under various torque conditions.
Knowl. Based Syst.
Sang Kyung Lee, Hyeongmin Kim, Minseok Chae, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn
2023 J jnl
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines.
J. Comput. Des. Eng.
Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn
2023 J jnl
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data.
Expert Syst. Appl.
Hyeongmin Kim, Jin Uk Ko, Kyumin Na, Hyeonchan Lee, Hee-soo Kim, Jong-Duk Son, Heonjun Yoon, Byeng D. Youn
2023 J jnl
PERL: Probabilistic energy-ratio-based localization for boiler tube leaks using descriptors of acoustic emission signals.
Reliab. Eng. Syst. Saf.
Kyumin Na, Heonjun Yoon, Jaedong Kim, Sungjong Kim, Byeng D. Youn
2023 J jnl
Probabilistic framework for reliable optimal design of gearboxes in general-purpose industrial robots considering random use conditions.
J. Comput. Des. Eng.
Jin-gyun Park, Heonjun Yoon, Byeng D. Youn
2022 J jnl
A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map.
Reliab. Eng. Syst. Saf.
Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn
2022 J jnl
Design principle for effective mechanical boundary using a resonance band gap under elastic waves.
J. Comput. Des. Eng.
Yong Chang Shin, Soo-Ho Jo, Heonjun Yoon, Byeng D. Youn
2020 J jnl
A new calibration metric that considers statistical correlation: Marginal Probability and Correlation Residuals.
Reliab. Eng. Syst. Saf.
Wongon Kim, Heonjun Yoon, Guesuk Lee, Taejin Kim, Byeng D. Youn
2020 J jnl
Operation-Adaptive Damage Assessment of Steam Turbines Using a Nonlinear Creep-Fatigue Interaction Model.
IEEE Access
Woosung Choi, Heonjun Yoon, Byeng Dong Youn