| 60 |
|
KSME |
Neural Network-based Finite Element Analysis Using Neural Operator
|
C. Kim, H. Oh |
2023.11 |
|
| 59 |
|
KSME |
Fault Diagnosis of Bearings with Imbalanced Class Data and Various Operating Conditions
|
M. Choi, D. Yoo, H. Oh |
2023.11 |
|
| 58 |
|
KSME |
Domain-Knowledge Guided Neural Networks for Localizing Loss Parts
|
J. Choi, J. Oh, H. Oh |
2023.11 |
|
| 57 |
|
KSME |
Rotor System Fault Data Generation through Multi-Body Dynamics Model Calibrated Utilizing Probability Residual
|
J. Lee, D. Lee, C. Kim, H. Oh |
2023.11 |
|
| 56 |
|
KSME |
Developing a Diagnostic for Rotating Systems using a Multi-Fidelity Model
|
D. Lee, J. Lee, H. Oh, C. Kim |
2023.11 |
|
| 55 |
|
KSPHM |
Vibration Signal Emulation for Engineering Vehicles Hydraulic Drivetrain by Operational Transfer Path Analysis and Deep Learning Modeling
|
J. Oh, D. Yoo*, H.Oh, D. Sung, K. Lee, Y. Ryu |
2023.07 |
|
| 54 |
|
KSME |
Frequency-Enhanced Autoencoder-Based Pump Anomaly Diagnosis Health Index Study
|
M. Choi, C. Lee, M. Hwang, H. Oh |
2023.05 |
Oral |
| 53 |
|
KSME |
Efficient Anomaly Detection with Density-Based Outline Sampling
|
S. Park, H. Oh |
2023.05 |
Oral |
| 52 |
|
KSME |
Journal Bearing Oil Whirl Data Generation Using Multi-Body Dynamics and Elastohydrodynamics Simulation Model
|
J. Lee, D. Lee, H. Oh, C. Kim |
2023.05 |
Oral |
| 51 |
|
KSME |
Bearing Fault Diagnosis under Data Imbalance and Variable Loading
|
D. Yoo, M. Choi, J. Oh, H. Oh |
2023.05 |
Oral |
| 50 |
|
KSME |
2D Wave Simulation in Elastic Solid Using Physics-informed Neural Network
|
H. Lee, H. Oh, J. Ha, H. Lee, W. Choi |
2023.05 |
Oral |
| 49 |
|
KSME |
Vibration Signal Emulation for Electric Vehicles by Operational Transfer Path Analysis and Deep Learning Modeling
|
J. Oh, D. Yoo, H. Oh, Y. Ryu, K. Lee, D. Sung |
2023.05 |
Oral |
| 48 |
|
KSME |
Multi-fidelity Finite Element-informed Neural Network (MF-FEI-NN) for Parametric Simulation
|
C. Kim, H. Oh |
2023.05 |
Oral |
| 47 |
|
KSME |
Multibody Dynamics Model for Digital Twin of Rotor Systems
|
D. Lee, J. Lee, H. Oh, C. Park, C. Kim |
2023.05 |
Oral |
| 46 |
|
KSME |
Improved Fault Detection in Ultrasonic Testing Using Self-supervised Learning
|
M. Jeon, M. Choi, H. Lee, H. Oh, J. Ha |
2023.05 |
Oral |
| 45 |
|
KSME |
Frequency-Enhanced Autoencoder-Based Pump Anomaly Diagnosis Health Index Study
|
M. Choi, C. Lee, M. Hwang, H. Oh |
2023.05 |
Oral |
| 44 |
|
KSME |
Fault Diagnosis Using Virtual Data from Digital Twin Model and Domain Adaptation
|
M. Choi, M. Hwang, D. Lee, D. Yoo, H. Oh |
2023.03 |
Oral |
| 43 |
|
KSNVE |
Data Analysis for Diagnosis of Primary Systems in Nuclear Power Plants
|
H. Oh, J. Kwon, B. Jung |
2022.11 |
Oral |
| 42 |
|
KSME |
Physics-Informed Neural Network Improvement for Solving 1D Wave Equation
|
H. Lee, J. Ha, H. Lee, W. Choi, H. Oh |
2022.11 |
Oral |
| 41 |
|
KSME |
Deep Learning based Centrifugal Pump Cavitation Detection under Data Imbalance
|
D. Yoo, H. Oh |
2022.11 |
Oral |
