Publication
System Health & Risk Management
Graduate Thesis
| No. | Name | Title | Year | Degree | File |
|---|---|---|---|---|---|
| 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. |
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| 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. |
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| 57 | Hwayong Jeong (정화용) | A Study of Deep Learning-based Spall Size Distribution Estimation for Rolling Element Bearing Diagnosis | February 2023 | M.S. |
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| 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. |
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| 55 | Keunsu Kim (김근수) | A Study on Diagnosis of Bearings in Incipient Fault Stage Considering Vibration Generation Mechanisms | February 2023 | Ph.D. |
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| 54 | Boseong Seo (서보성) | Deep Learning Based Health Prognostics of Oil-immersed Transformers for Contaminated Dissolved Gas Analysis Data | August 2022 | Ph.D. |
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| 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. |
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| 52 | Dowan Kim (김도완) | Fault Detection of Gearbox in Industrial Robot using Current Residual from Singular Spectrum Template Matching | February 2022 | M.S. |
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| 51 | Chaehyun Suh (서채현) | Feature-analytic, Fleet-adaptive Network for Fault Diagnosis of Automated Material Handling Systems | February 2022 | M.S. |
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| 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. |
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| 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. |
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| 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. |
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| 47 | Yunhan Kim (김윤한) | Vibration-based Gearbox Diagnostics by Enhancement of Weak Fault-characteristic Information | February 2022 | Ph.D. |
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| 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. |
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| 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. |
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| 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. |
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| 43 | Myungyon Kim (김명연) | Maximal Information Use for Deep Learning Based Fault Diagnosis Techniques | August 2021 | Ph.D. |
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| 42 | Hyejeong Son (손혜정) | Optimization-based Model Improvement for Error Sources Identification in a Computational Model | August 2021 | Ph.D. |
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| 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. |
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| 40 | Yong Chang Shin (신용창) | Highly-Dense Elastic Wave Energy Harvesting via Standing Wave Manipulation Using a Phononic Band Gap | August 2021 | Ph.D. |
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| 39 | Yongjin Shin (신용진) | Deep Learning Approach for Motor Diagnosis Using Bayesian Based Class Weight Optimization | February 2021 | M.S. |
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| 38 | Jonghyun Choi (최종현) | Study of Interpretable AI based Bearing Fault Frequency Estimation Utilizing Generated Signal | February 2021 | M.S. |
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| 37 | Joo Hyeon Im (임주현) | Deep Neural Network based Disease Severity Regression for Diagnosis of Abdominal Aortic Aneurysm | February 2021 | M.S. |
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| 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. |
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| 35 | Yeongtak Oh (오영탁) | Motion-Adaptive Few-Shot Fault Detection Method of Industrial Robot Gearboxes via Residual Convolutional Neural Network | August 2020 | M.S. |
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| 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. |
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| 33 | Hyeon Bae Kong (공현배) | An Automated Interpretable Deep Learning (AutoIDL) Framework Development for Prognostics and Health Management (PHM) | February 2020 | M.S. |
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| 32 | Giljun Ahn (안길준) | Estimated Disturbance Decomposition Based Fault Detection for Inter-Turn Short-Circuit Fault in PMSM | February 2020 | M.S. |
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| 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. |
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| 30 | Hyunjae Kim (김현재) | Training Approaches for Deep Learning Based Fault Diagnosis of Rotating Machinery Overcoming Fault Data Insufficiency | February 2020 | Ph.D. |
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| 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. |
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| 28 | Jungho Park (박정호) | Fault Diagnostics of Planetary Gears under Variable-speed Conditions Using Time-frequency Analysis | August 2019 | Ph.D. |
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| 27 | Joowhan Song (송주환) | Deep Learning Based Acoustic Fault Severity Estimation | February 2019 | M.S. |
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| 26 | Guesuk Lee (이규석) | Sequential Optimization and Uncertainty Propagation for Optimization-Based Model Calibration | February 2019 | Ph.D. |
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| 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. |
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| 24 | Dongki Lee (이동기) | Defective Motor Classification with Acoustic Signal Using Convolutional Neural Network | August 2018 | M.S. |
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| 23 | Woosung Choi (최우성) | A Framework for Remaining Useful Life Prediction of Steam Turbines Applicable to Various Data Types | August 2018 | Ph.D. |
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| 22 | Byungjoo Jeon (전병주) | Bearing Incipient Fault Detection, Diagnosis, and Unsupervised Prognosis with Failure Thresholding | February 2018 | M.S. |
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| 21 | Joung Taek Yoon (윤정택) | Resilience Analysis and Design Methodology Considering False Alarms for Complex Engineered Systems | February 2018 | Ph.D. |
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| 20 | Heonjun Yoon (윤헌준) | Modeling and Analysis of Piezoelectric Vibration Energy Harvesting Devices under Operating and Manufacturing Uncertainties | February 2018 | Ph.D. |
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| 19 | Dae Whan Kim (김대환) | Bivariate Lifetime Model and Validation Procedure for Organic Light-Emitting Diode Displays | February 2018 | Ph.D. |
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| 18 | Keon Kim (김건) | Quantitative Performance Evaluation of a Knock Sensor for Vibration-Based Fault Diagnosis in a Planetary Gearbox | August 2017 | M.S. |
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| 17 | Jong M. Ha (하종문) | Robust Vibration-Based Fault Diagnosis of a Planetary Gearbox under Environmental and Operational Uncertainties | August 2017 | Ph.D. |
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| 16 | Taejin Kim (김태진) | Effective Independence-Based Sensor Network Design for Health Assessment of Engineered Systems | February 2017 | Ph.D. |
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| 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. |
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| 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. |
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| 13 | Byung Chul Jeon (전병철) | Unsupervised Learning and Diagnosis Method for Journal Bearing System in a Large-scale Power Plant | February 2016 | Ph.D. |
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| 12 | Jinshi Cui (최금실) | Reliability-Based Design Optimization of Omnidirectional Energy Harvesting Sidewalk Block Considering Human Gait Analysis | August 2015 | M.S. |
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| 11 | Kyung Min Park (박경민) | Statistical Health Reasoning System of Power Generator Stator Windings against Water Absorption | February 2014 | M.S. |
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| 10 | Chulmin Cho (조철민) | Power Usage Maximization of a Piezoelectric Energy Harvesting Skin | February 2014 | M.S. |
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| 9 | Jong M. Ha (하종문) | Vibration-based Framework for Fault Diagnostics of Wind Turbine Gearbox | August 2013 | M.S. |
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| 8 | Seunghyuk Choi (최승혁) | A Performance Degradation Model for Warranty Abuse Detection in Portable Electronics | August 2013 | M.S. |
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| 7 | Heonjun Yoon (윤헌준) | Analytical Model for Electric Power Prediction of Piezoelectric Energy Harvesting | February 2013 | M.S. |
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| 6 | Jisun Kim (김지선) | A Model Refinement Framework for Statistical Model Validation | February 2013 | M.S. |
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| 5 | Lulu Wang | Product Design Selection Using Online Customer Reviews | February 2012 | Ph.D. |
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| 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. |
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| 3 | Byung C. Jung (정병창) | A Hierarchical Framework for Statistical Model Validation of Engineered Systems | August 2011 | Ph.D. |
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| 2 | Pingfeng Wang | Reliability-Based Design and Structural Health Prognostics for a Resilient System Design | August 2010 | Ph.D. |
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| 1 | Zhimin Xi | A Generic Reliability Analaysis and Design Framework with a Set of Random Parameter and Field Variables | August 2010 | Ph.D. |
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Laboratory for System Health and Risk Management (SHRM), Department of Mechanical Engineering