62 |
Hye Jun Oh (오혜준) |
Cross-modal Knowledge Distillation Based Multi-domain Adaptation for Motor Fault Diagnosis |
February 2024 |
M.S. |
|
61 |
Jin-gyun Park (박진균) |
Design of General-Purpose Industrial Robot Considering Random Use Condition and Manufacturing Uncertainty |
February 2024 |
Ph.D. |
|
60 |
Hyeongmin Kim (김형민) |
Motor Fault Scale-focused Feature Learning Considering Operation Variability and Diagnosis Uncertainty |
February 2024 |
Ph.D. |
|
59 |
Kyumin Na (나규민) |
An Uncertainty-Aware Framework for Fault Diagnosis in Industrial Systems Using Low and High Sampling Rate Signals |
August 2023 |
Ph.D. |
|
58 |
Taehun Kim (김태훈) |
Spectrum-guided GAN: A Reliable Signal Generation Approach for Fault Diagnosis of Rotating Machinery with Limited Data |
February 2023 |
M.S. |
|
57 |
Hwayong Jeong (정화용) |
A Study of Deep Learning-based Spall Size Distribution Estimation for Rolling Element Bearing Diagnosis |
February 2023 |
M.S. |
|
56 |
Jin Uk Ko (고진욱) |
Deep-learning-based Methodology for Macro- and Micro-level Fault Diagnosis of Rotating Machinery Using Low- and High-resolution Signals |
February 2023 |
Ph.D. |
|
55 |
Keunsu Kim (김근수) |
A Study on Diagnosis of Bearings in Incipient Fault Stage Considering Vibration Generation Mechanisms |
February 2023 |
Ph.D. |
|
54 |
Boseong Seo (서보성) |
Deep Learning Based Health Prognostics of Oil-immersed Transformers for Contaminated Dissolved Gas Analysis Data |
August 2022 |
Ph.D. |
|
53 |
Su J. Kim (김수지) |
Investigation on Fault Information Extraction for Acoustic Emission based Rolling Element Bearing Diagnostics under Noisy Conditions |
August 2022 |
Ph.D. |
|
52 |
Dowan Kim (김도완) |
Fault Detection of Gearbox in Industrial Robot using Current Residual from Singular Spectrum Template Matching |
February 2022 |
M.S. |
|
51 |
Chaehyun Suh (서채현) |
Feature-analytic, Fleet-adaptive Network for Fault Diagnosis of Automated Material Handling Systems |
February 2022 |
M.S. |
|
50 |
Hyeonchan Lee (이현찬) |
A New Initial Point Search Algorithm for Bayesian Calibration with Insufficient Statistical Information: Greedy Stochastic Section Search |
February 2022 |
M.S. |
|
49 |
In Chan Lee (이인찬) |
Deep Learning-based Domain Adaptation Method for Identifying Peripheral Arterial Disease Locations under Various Severity Levels |
February 2022 |
M.S. |
|
48 |
Sooho Kim (김수호) |
Inference of Central Blood Pressure Waveform and Arterial Disease Diagnosis using Explainable Artificial Intelligence Regularized for Individuality |
February 2022 |
Ph.D. |
|
47 |
Yunhan Kim (김윤한) |
Vibration-based Gearbox Diagnostics by Enhancement of Weak Fault-characteristic Information |
February 2022 |
Ph.D. |
|
46 |
Chan Hee Park (박찬희) |
Physics-guided Deep Learning Study for Fault Diagnostics of Industrial Motors Under Variable Operating Conditions Using Stator Current Signals |
February 2022 |
Ph.D. |
|
45 |
Wongon Kim (김원곤) |
Investigation on Statistical Model Calibration and Updating of Physics and Data-driven Modeling for Hybrid Digital Twin |
February 2022 |
Ph.D. |
|
44 |
Dongkyu Lee (이동규) |
A Diagnosis Framework for the Robotic Arm Joint with Strain Wave Gearing based on Ordinal Pattern Analysis |
August 2021 |
M.S. |
|
43 |
Myungyon Kim (김명연) |
Maximal Information Use for Deep Learning Based Fault Diagnosis Techniques |
August 2021 |
Ph.D. |
|
42 |
Hyejeong Son (손혜정) |
Optimization-based Model Improvement for Error Sources Identification in a Computational Model |
August 2021 |
Ph.D. |
|
41 |
Sunuwe Kim (김선의) |
Deep-Learning-Based Fault Diagnosis Using Dissolved Gas Analysis for Unlabeled Fault Data of Industrial Power Transformers |
August 2021 |
Ph.D. |
|
40 |
Yong Chang Shin (신용창) |
Highly-Dense Elastic Wave Energy Harvesting via Standing Wave Manipulation Using a Phononic Band Gap |
August 2021 |
Ph.D. |
|
39 |
Yongjin Shin (신용진) |
Deep Learning Approach for Motor Diagnosis Using Bayesian Based Class Weight Optimization |
February 2021 |
M.S. |
|
38 |
Jonghyun Choi (최종현) |
Study of Interpretable AI based Bearing Fault Frequency Estimation Utilizing Generated Signal |
February 2021 |
M.S. |
|
37 |
Joo Hyeon Im (임주현) |
Deep Neural Network based Disease Severity Regression for Diagnosis of Abdominal Aortic Aneurysm |
February 2021 |
M.S. |
|
36 |
Soo-Ho Jo (조수호) |
Modeling and Design of a Phononic Crystal with Piezoelectric Defects for Broadband Energy Localization and Harvesting |
February 2021 |
Ph.D. |
|
35 |
Yeongtak Oh (오영탁) |
Motion-Adaptive Few-Shot Fault Detection Method of Industrial Robot Gearboxes via Residual Convolutional Neural Network |
August 2020 |
M.S. |
|
34 |
Myeongbaek Youn (윤명백) |
A Weighted Residual Rényi Information (WRRI) for Detecting Fault Feature of Motor and Gearbox in Linear Time-Frequency Representation |
August 2020 |
M.S. |
|
33 |
Hyeon Bae Kong (공현배) |
An Automated Interpretable Deep Learning (AutoIDL) Framework Development for Prognostics and Health Management (PHM) |
February 2020 |
M.S. |
|
32 |
Giljun Ahn (안길준) |
Estimated Disturbance Decomposition Based Fault Detection for Inter-Turn Short-Circuit Fault in PMSM |
February 2020 |
M.S. |
|
31 |
Junmin Lee (이준민) |
Fault Diagnostics for Motor Drive Systems with Short-circuit Failure of Insulated Gate Bipolar Transistors (IGBTs) Using System-level Measurements |
February 2020 |
Ph.D. |
|
30 |
Hyunjae Kim (김현재) |
Training Approaches for Deep Learning Based Fault Diagnosis of Rotating Machinery Overcoming Fault Data Insufficiency |
February 2020 |
Ph.D. |
|
29 |
Hao Yuan (유안 하오) |
Minimization of Multi-Axis Interference for Fault Detection of Industrial Robots Based on Blind Sources Separation |
August 2019 |
M.S. |
|
28 |
Jungho Park (박정호) |
Fault Diagnostics of Planetary Gears under Variable-speed Conditions Using Time-frequency Analysis |
August 2019 |
Ph.D. |
|
27 |
Joowhan Song (송주환) |
Deep Learning Based Acoustic Fault Severity Estimation |
February 2019 |
M.S. |
|
26 |
Guesuk Lee (이규석) |
Sequential Optimization and Uncertainty Propagation for Optimization-Based Model Calibration |
February 2019 |
Ph.D. |
|
25 |
Joon Ha Jung (정준하) |
Investigation on Preprocessing and Transformation of Vibration Signals for Deep Learning Based Diagnosis of Rotating Machinery |
February 2019 |
Ph.D. |
|
24 |
Dongki Lee (이동기) |
Defective Motor Classification with Acoustic Signal Using Convolutional Neural Network |
August 2018 |
M.S. |
|
23 |
Woosung Choi (최우성) |
A Framework for Remaining Useful Life Prediction of Steam Turbines Applicable to Various Data Types |
August 2018 |
Ph.D. |
|
22 |
Byungjoo Jeon (전병주) |
Bearing Incipient Fault Detection, Diagnosis, and Unsupervised Prognosis with Failure Thresholding |
February 2018 |
M.S. |
|
21 |
Joung Taek Yoon (윤정택) |
Resilience Analysis and Design Methodology Considering False Alarms for Complex Engineered Systems |
February 2018 |
Ph.D. |
|
20 |
Heonjun Yoon (윤헌준) |
Modeling and Analysis of Piezoelectric Vibration Energy Harvesting Devices under Operating and Manufacturing Uncertainties |
February 2018 |
Ph.D. |
|
19 |
Dae Whan Kim (김대환) |
Bivariate Lifetime Model and Validation Procedure for Organic Light-Emitting Diode Displays |
February 2018 |
Ph.D. |
|
18 |
Keon Kim (김건) |
Quantitative Performance Evaluation of a Knock Sensor for Vibration-Based Fault Diagnosis in a Planetary Gearbox |
August 2017 |
M.S. |
|
17 |
Jong M. Ha (하종문) |
Robust Vibration-Based Fault Diagnosis of a Planetary Gearbox under Environmental and Operational Uncertainties |
August 2017 |
Ph.D. |
|
16 |
Taejin Kim (김태진) |
Effective Independence-Based Sensor Network Design for Health Assessment of Engineered Systems |
February 2017 |
Ph.D. |
|
15 |
Hwanoh Choi (최환오) |
A New Calibration Metric - Probability Residual (PR) and Its Validation Practice for Rotor Dynamics Model of a Journal Bearing Rotor System |
August 2016 |
M.S. |
|
14 |
Sihyeong Woo (우시형) |
Time-Domain Reflectometry based Multiple Leak Detection System using Bayesian Inference and S-parameters Transmission Line Model for Pipelines |
February 2016 |
M.S. |
|
13 |
Byung Chul Jeon (전병철) |
Unsupervised Learning and Diagnosis Method for Journal Bearing System in a Large-scale Power Plant |
February 2016 |
Ph.D. |
|
12 |
Jinshi Cui (최금실) |
Reliability-Based Design Optimization of Omnidirectional Energy Harvesting Sidewalk Block Considering Human Gait Analysis |
August 2015 |
M.S. |
|
11 |
Kyung Min Park (박경민) |
Statistical Health Reasoning System of Power Generator Stator Windings against Water Absorption |
February 2014 |
M.S. |
|
10 |
Chulmin Cho (조철민) |
Power Usage Maximization of a Piezoelectric Energy Harvesting Skin |
February 2014 |
M.S. |
|
9 |
Jong M. Ha (하종문) |
Vibration-based Framework for Fault Diagnostics of Wind Turbine Gearbox |
August 2013 |
M.S. |
|
8 |
Seunghyuk Choi (최승혁) |
A Performance Degradation Model for Warranty Abuse Detection in Portable Electronics |
August 2013 |
M.S. |
|
7 |
Heonjun Yoon (윤헌준) |
Analytical Model for Electric Power Prediction of Piezoelectric Energy Harvesting |
February 2013 |
M.S. |
|
6 |
Jisun Kim (김지선) |
A Model Refinement Framework for Statistical Model Validation |
February 2013 |
M.S. |
|
5 |
Lulu Wang |
Product Design Selection Using Online Customer Reviews |
February 2012 |
Ph.D. |
|
4 |
Chao Hu |
Advances in System Reliability-based Design and Prognostics and Health Management (PHM) for System Resilience Analysis and Design |
August 2011 |
Ph.D. |
|
3 |
Byung C. Jung (정병창) |
A Hierarchical Framework for Statistical Model Validation of Engineered Systems |
August 2011 |
Ph.D. |
|
2 |
Pingfeng Wang |
Reliability-Based Design and Structural Health Prognostics for a Resilient System Design |
August 2010 |
Ph.D. |
|
1 |
Zhimin Xi |
A Generic Reliability Analaysis and Design Framework with a Set of Random Parameter and Field Variables |
August 2010 |
Ph.D. |
|