J. Jung

发表

A Domain Adaptation with Semantic Clustering (DASC) method for fault diagnosis of rotating machinery.

B. Youn, Myungyon Kim, J. U. Ko, 2021, ISA transactions.

Smart Diagnosis of Journal Bearing Rotor Systems: Unsupervised Feature Extraction Scheme by Deep Learning

Byeng D. Youn, Hyunseok Oh, Joon Ha Jung, 2016 .

Hybrid Approach of Data-Driven and Physics-based Methods for Estimation and Prediction of Fatigue Crack Growth

J. Jung, Kyung Ho Sun, Heonjun Yoon, 2019, Annual Conference of the PHM Society.

A robust and convex metric for unconstrained optimization in statistical model calibration—probability residual (PR)

Byeng D. Youn, Hyunseok Oh, Joon Ha Jung, 2019, Structural and Multidisciplinary Optimization.

Evaluation of Datum Unit for Diagnostics of Journal-Bearing Systems

Yong-Chae Bae, Yeon-Whan Kim, Byeng D. Youn, 2015 .

Datum unit optimization for robustness of a journal bearing diagnosis system

B. Youn, J. Jung, Yeonwhan Kim, 2015, International Journal of Precision Engineering and Manufacturing.

A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning

Byeng D. Youn, Jungho Park, Moussa Hamadache, 2019, JMST Advances.

Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems

Hyeon Bae Kong, Joon Ha Jung, Myungyon Kim, 2020, IEEE Access.

A degenerated equivalent circuit model and hybrid prediction for state-of-health (SOH) of PEM fuel cell

Taejin Kim, Byeng D. Youn, Hyunjae Kim, 2014, 2014 International Conference on Prognostics and Health Management.

Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis

Hyunseok Oh, Joon Ha Jung, Byeng Dong Youn, 2018, IEEE Transactions on Industrial Electronics.

Statistical Approach to Diagnostic Rules for Various Malfunctions of Journal Bearing System Using Fisher Discriminant Analysis

Yong-Chae Bae, Byeng D. Youn, Byungchul Jeon, 2014 .

Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps

Seungchul Lee, Bayu Adhi Tama, Kyung Ho Sun, 2020, IEEE Access.

A robust and convex metric for unconstrained optimization in statistical model calibration—probability residual (PR)

B. Youn, J. Jung, H. Oh, 2019, Structural and Multidisciplinary Optimization.

A comprehensive review of artificial intelligence-based approaches for rolling element bearing PHM: shallow and deep learning

J. Jung, M. Hamadache, Jungho Park, 2019, JMST Advances.

Omnidirectional regeneration (ODR) of proximity sensor signals for robust diagnosis of journal bearing systems

Yeon-Whan Kim, Donghwan Kim, Byeng D. Youn, 2017 .

Datum unit optimization for robustness of a journal bearing diagnosis system

Yong-Chae Bae, Yeon-Whan Kim, Byeng D. Youn, 2015 .

Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance

J. U. Ko, J. Jung, Byeng D. Youn, 2023, Expert systems with applications.

Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery

Byeng D. Youn, Joon Ha Jung, Myungyon Kim, 2021, Reliab. Eng. Syst. Saf..

Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis

Byeng D. Youn, Hyeon Bae Kong, Joon Ha Jung, 2021, Comput. Ind..