| 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 |
| 40 |
|
KSME |
Unsupervised-learning-based Anomaly Detection by Health Data Analysis of Construction Equipment Piston Pump
|
C. Lee, H. Oh |
2022.11 |
Oral |
| 39 |
|
KSME |
Feature Extraction for Fault Diagnosis with Sensing Location Independence
|
M. Choi, M. Hwang, H. Oh |
2022.11 |
Oral |
| 38 |
|
KSME |
Rotor Unbalance and Misalignment Simulation Using Finite Element Model
|
D. Lee, H. Oh,C. Kim |
2022.11 |
Oral |
| 37 |
|
KSNVE |
Fault Diagnosis of Rolling Bearings with Imbalanced Data Subjected to Various Operating Conditions
|
D. Yoo, H. Oh |
2022.05 |
Oral |
| 36 |
|
KSME |
Detection of Near-surface Defect using Ultrasonic Testing Data and Normalized Autoencoder
|
M. Jeon, M, Choi, H. Oh |
2022.05 |
Oral |
| 35 |
|
KSME |
Bearing Fault Diagnosis under Few Labeled Data Using Self-Supervised Learning
|
H. Park, H.Oh |
2022.05 |
Oral |
