| 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 |
| 34 |
|
KSME |
Construction Machine Hydraulic Pump Fault Diagnosis Using Frequency Domain Data Preprocessing Techniques
|
C. Lee, H. Oh |
2022.05 |
Oral |
| 33 |
|
KSME |
Cavitation Detection for Centrifugal Pumps using Deep SVDD
|
D. Yoo, H. Oh |
2022.03 |
Oral |
| 32 |
|
KSME |
Building High-Quality Dataset for Training Deep Learning Models by Assessing the Effect of Independent Variables on Prediction Accuracy
|
M. Choi, M. Jeon, H. Oh |
2022.03 |
Oral |
| 31 |
|
KSME |
Remaining Useful Life Prediction of Rotating Machinery through Bias-Variance based Prognostic Metric
|
M. Hwang, H. Oh |
2022.03 |
Oral |
| 30 |
|
KSME |
Rotation Speed Estimation of In-field Variable Speed Air Compressor Using Phase Demodulation
|
Y. Seo, K. Lee, H. Oh |
2021.11 |
Oral |
| 29 |
|
KSME |
Classification of Spall Size by Dynamic Response based Convolution Neural Network and Visualization of Physical Fault Passage
|
M. Hwang, M. Choi, H. Oh |
2021.11 |
Oral |
| 28 |
|
KSME |
Probabilistic Life Assessment of Rotor Bore using First-Order Reliability Method
|
D. Lee, C. Kim, H. Oh, M. Hwang, K. Cho |
2021.11 |
Oral |
| 27 |
|
KSME |
Probabilistic Lifetime Assessment with Stress Corrosion Crack of LP Rotor Rim Attachment
|
C. Kim, D. Lee, H. Oh, M. Hwang, K. Cho |
2021.11. |
Oral |
| 26 |
|
KSME |
Sensor Network Design for Detecting Pipeline Rupture Using Explainable Artificial Intelligence
|
C. Kim and H. Oh |
2021.08. |
Oral |
| 25 |
|
KSNVE |
Artificial Intelligence Domain Adaptation for Condition Monitoring of Variable-Loading Air Compressor
|
H. Oh, Y. Seo, M. Choi, D. Kim |
2021.05 |
Oral |
| 24 |
|
KSNVE |
Condition Monitoring Data Analysis of Oil Injected Air Compressor in the Field
|
Y. Seo, K. Lee, H. Oh |
2021.05 |
Oral |
| 23 |
|
KSME |
Vibration Image Generation of 15 kW Screw Compressors Using Convolutional Autoencoder
|
K. Lee, Y. Seo, H. Oh |
2021.04 |
Oral |
| 22 |
|
KSME |
Probabilistic Fatigue Life Assessment of Rotor Bore by Simple Thermal Stress Analysis
|
D. Lee, C. Kim, H. Oh, M. Hwang, K. Cho |
2021.04 |
Oral |
| 21 |
|
KSME |
Bearing Fault Diagnosis under Variable Loading Conditions Using Transfer Learning
|
D. Kim, M. Choi, Y. Seo, H. Oh |
2020.12 |
Oral |
