Joon Ha Jung
Orcid: 0000-0001-8396-3192
According to our database1,
Joon Ha Jung
authored at least 11 papers
between 2018 and 2024.
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Bibliography
2024
Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing.
Reliab. Eng. Syst. Saf., 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
A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults.
Sensors, August, 2023
2022
Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery.
Reliab. Eng. Syst. Saf., 2022
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
2020
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps.
IEEE Access, 2020
Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems.
IEEE Access, 2020
2018
Scalable and Unsupervised Feature Engineering Using Vibration-Imaging and Deep Learning for Rotor System Diagnosis.
IEEE Trans. Ind. Electron., 2018