| 20 |
|
KSME |
SlowFast Networks for Video Forest Fire Smoke Detection
|
M. Choi, D. Kim, Y. Seo, K. Lee, H. Oh |
2020.12. |
Poster |
| 19 |
|
KSME |
Machine Learning-based Evaluation of Sensor Location for Pipeline Network Damage Detection
|
C. Kim, D. Lee, H. Oh |
2020.12. |
Oral |
| 18 |
|
SASE |
Effective Features and Health Index for Diagnosis of PMSM ISCF
|
K. Lee, H. Oh, C. Yeom, I. Ahn |
2020.12. |
Oral |
| 17 |
|
KSPHM |
Evaluating Sensor Location for Pipeline Damage Detection Using CAM
|
C. Kim, H. Oh |
2020.06. |
Oral |
| 16 |
|
KSPHM |
Simulation of Permanent Magnet Synchronous Motor with ISCFs
|
K. Lee, H. Oh |
2020.06. |
Poster |
| 15 |
|
KSPHM |
Modification of Recurrence Plot for Monitoring Spot Welding Electrode
|
W. Jung, H. Oh |
2020.06. |
Oral |
| 14 |
|
KSNVE |
Evaluating Relevance of Features for Rotating Machinery Prognostics
|
M. Hwang, H. Oh |
2020.06. |
Oral |
| 13 |
|
Korean Society for Aeronautical and Space Sciences |
Effect of Various Motor Speeds and Loads on Health Indicator for Inter-turn Fault Diagnosis
|
K. Lee, H. Oh and C. Yeom |
2019.11. |
|
| 12 |
|
KSPHM |
Optimal Sensor Placement to Detect Fracture of Pipeline System
|
C. Kim, and H. Oh |
2019.04. |
|
| 11 |
|
KSPHM |
Off-shore Structure Health Diagnosis Using Deep Generative Model and Edge Detection
|
W. Jung, and H. Oh |
2019.04. |
|
| 10 |
|
KSME |
PTH Solder Joint Modeling for Probabilistic Fatigue Life Prediction
|
D. Lee, and H. Oh |
2019.02. |
|
| 9 |
|
KSME |
Comparison of Filtering Algorithms for Prognostics: Coal Pulverizer Gearbox Case Study
|
Y. Ban, and H. Oh |
2019.02. |
|
| 8 |
|
KSME |
Off-shore Structure Health Diagnostic Method using Edge Detection and Deep Convolutional Neural Networks
|
W. Jung, and H. Oh |
2018.12. |
|
| 7 |
|
KSME |
A Novel Feature for Machine-Independent PM Motor Diagnostics: Averaged Crest Factor
|
H. Lee, and H. Oh |
2018.12. |
|
| 6 |
|
KSME |
Simulation Model for Designing Sensor Networks in Pipe System Damage Detection under Uncertainty
|
J. Kim, H. Oh, B. Jung, and Y. Shin |
2018.12. |
|
| 5 |
|
KSME |
Efficient Method of Estimating Statistical Moments for Statistical Model Calibration
|
J. Kim, and H. Oh |
2018.04. |
|
| 4 |
|
KSME |
Deep Learning Generative Models for Mechanical System Fault Diagnostics with Imbalanced Sensor Data
|
W. Jung, H. Lee, and H. Oh |
2018.04. |
|
| 3 |
|
KSME |
Artificial Fault Seeding Method of Permanent Magnet Motors for MachineIndependent Fault Diagnostics
|
H. Lee, and H. Oh |
2018.02. |
|
| 2 |
|
KSME |
Emulating Sensor Data from Engineered Systems Using Artificial Intelligence Generative Models
|
J. Lee, and H. Oh |
2017.11. |
|
| 1 |
|
KSME |
Development of Fault Seeding Technique for PM Motors Used in Pump System
|
H. Lee, W. Jung, and H. Oh |
2017.11. |
|
