Byeng D. Youn
Orcid: 0000-0003-0135-3660Affiliations:
- Seoul National University, Department of Mechanical Engineering, Republic of Korea
According to our database1,
Byeng D. Youn
authored at least 57 papers
between 2010 and 2025.
Collaborative distances:
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Bibliography
2025
Physics-based digital twin updating and twin-based explainable crack identification of mechanical lap joint.
Reliab. Eng. Syst. Saf., 2025
2024
FASER: Fault-affected signal energy ratio for fault diagnosis of gearboxes under repetitive operating conditions.
Expert Syst. Appl., March, 2024
Peripheral artery disease diagnosis based on deep learning-enabled analysis of non-invasive arterial pulse waveforms.
Comput. Biol. Medicine, January, 2024
Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing.
Reliab. Eng. Syst. Saf., 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
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
Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance.
Expert Syst. Appl., 2024
Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2024
Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery.
Adv. Eng. Informatics, 2024
2023
Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths.
Expert Syst. Appl., October, 2023
Multi-head de-noising autoencoder-based multi-task model for fault diagnosis of rolling element bearings under various speed conditions.
J. Comput. Des. Eng., July, 2023
Robust deep learning-based fault detection of planetary gearbox using enhanced health data map under domain shift problem.
J. Comput. Des. Eng., July, 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
Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem.
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
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
Estimation of fatigue crack initiation and growth in engineering product development using a digital twin approach.
Reliab. Eng. Syst. Saf., 2022
Machining quality monitoring (MQM) in laser-assisted micro-milling of glass using cutting force signals: an image-based deep transfer learning.
J. Intell. Manuf., 2022
Design principle for effective mechanical boundary using a resonance band gap under elastic waves.
J. Comput. Des. Eng., 2022
Prognostic health management of the robotic strain wave gear reducer based on variable speed of operation: a data-driven via deep learning approach.
J. Comput. Des. Eng., 2022
A new auto-encoder-based dynamic threshold to reduce false alarm rate for anomaly detection of steam turbines.
Expert Syst. Appl., 2022
A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies.
CoRR, 2022
A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives.
CoRR, 2022
2021
Int. J. Robotics Res., 2021
Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis.
Comput. Ind., 2021
Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis.
Comput. Ind., 2021
Drive-Tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions.
IEEE Access, 2021
Deep Learning-Based Diagnosis of Peripheral Artery Disease via Continuous Property-Adversarial Regularization: Preliminary in Silico Study.
IEEE Access, 2021
A Health Data Map-Based Ensemble of Deep Domain Adaptation Under Inhomogeneous Operating Conditions for Fault Diagnosis of a Planetary Gearbox.
IEEE Access, 2021
2020
Intelligent Steam Power Plant Boiler Waterwall Tube Leakage Detection via Machine Learning-Based Optimal Sensor Selection.
Sensors, 2020
Reliab. Eng. Syst. Saf., 2020
A new calibration metric that considers statistical correlation: Marginal Probability and Correlation Residuals.
Reliab. Eng. Syst. Saf., 2020
A Semi-Supervised Autoencoder With an Auxiliary Task (SAAT) for Power Transformer Fault Diagnosis Using Dissolved Gas Analysis.
IEEE Access, 2020
Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems.
IEEE Access, 2020
Model-Based Fault Detection Method for Coil Burnout in Solenoid Valves Subjected to Dynamic Thermal Loading.
IEEE Access, 2020
Operation-Adaptive Damage Assessment of Steam Turbines Using a Nonlinear Creep-Fatigue Interaction Model.
IEEE Access, 2020
2019
Life-cycle maintenance cost analysis framework considering time-dependent false and missed alarms for fault diagnosis.
Reliab. Eng. Syst. Saf., 2019
PHM experimental design for effective state separation using Jensen-Shannon divergence.
Reliab. Eng. Syst. Saf., 2019
A Bayesian approach for a damage growth model using sporadically measured and heterogeneous on-site data from a steam turbine.
Reliab. Eng. Syst. Saf., 2019
A New Parameter Repurposing Method for Parameter Transfer With Small Dataset and Its Application in Fault Diagnosis of Rolling Element Bearings.
IEEE Access, 2019
2018
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis.
IEEE Trans. Ind. Electron., 2018
IEEE Trans. Ind. Electron., 2018
2017
IEEE Trans. Ind. Electron., 2017
Reliab. Eng. Syst. Saf., 2017
Assembly yield prediction of plastically encapsulated packages with a large number of manufacturing variables by advanced approximate integration method.
Microelectron. Reliab., 2017
2016
Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error.
IEEE Trans. Reliab., 2016
An Online-Applicable Model for Predicting Health Degradation of PEM Fuel Cells With Root Cause Analysis.
IEEE Trans. Ind. Electron., 2016
2015
An empirical model to describe performance degradation for warranty abuse detection in portable electronics.
Reliab. Eng. Syst. Saf., 2015
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015
2012
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life.
Reliab. Eng. Syst. Saf., 2012
2010
Forward-stepwise regression analysis for fine leak batch testing of wafer-level hermetic MEMS packages.
Microelectron. Reliab., 2010