Heonjun Yoon
Orcid: 0000-0001-8265-4638
According to our database1,
Heonjun Yoon
authored at least 12 papers
between 2020 and 2024.
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Bibliography
2024
FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions.
Expert Syst. Appl., March, 2024
Self-supervised feature learning for motor fault diagnosis under various torque conditions.
Knowl. Based Syst., 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.
J. Comput. Des. Eng., 2024
Revolution and peak discrepancy-based domain alignment method for bearing fault diagnosis under very low-speed conditions.
Expert Syst. Appl., 2024
2023
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data.
Expert Syst. Appl., April, 2023
Probabilistic framework for reliable optimal design of gearboxes in general-purpose industrial robots considering random use conditions.
J. Comput. Des. Eng., March, 2023
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines.
J. Comput. Des. Eng., March, 2023
PERL: Probabilistic energy-ratio-based localization for boiler tube leaks using descriptors of acoustic emission signals.
Reliab. Eng. Syst. Saf., 2023
2022
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., 2022
Design principle for effective mechanical boundary using a resonance band gap under elastic waves.
J. Comput. Des. Eng., 2022
2020
A new calibration metric that considers statistical correlation: Marginal Probability and Correlation Residuals.
Reliab. Eng. Syst. Saf., 2020
Operation-Adaptive Damage Assessment of Steam Turbines Using a Nonlinear Creep-Fatigue Interaction Model.
IEEE Access, 2020