People
Hyperautomation Artificial Intelligence
2M.S. Alumni
February 2024
Cross-modal Knowledge Distillation Based Multi-domain Adaptation for Motor Fault Diagnosis
Prognostics and Health Management for Motors
ojune575@snu.ac.kr
KOREAN Reinsurance Company
February 2023
Spectrum-guided GAN: A Reliable Signal Generation Approach for Fault Diagnosis of Rotating Machinery with Limited Data
Prognostics and Health Management for a Journal Bearing System
crown3633@snu.ac.kr
Ph.D. Student in SHRM Lab
A Study of Deep Learning-based Spall Size Distribution Estimation for Rolling Element Bearing Diagnosis
Prognostics and Health Management for a Rolling Element Bearing System
toeky2002@snu.ac.kr
HD Hyundai Xitesolution
February 2022
Fault Detection of Gearbox in Industrial Robot using Current Residual from Singular Spectrum Template Matching
Prognostics and Health Management for Industrial Robots
rlaehdhks4@snu.ac.kr
SAMSUNG Electronics
Feature-analytic, Fleet-adaptive Network for Fault Diagnosis of Automated Material Handling Systems
maroo17@snu.ac.kr
A New Initial Point Search Algorithm for Bayesian Calibration with Insufficient Statistical Information: Greedy Stochastic Section Search
Statistical Model Verification and Validation for Digital Twin
hyeonchan523@gmail.com
Deep Learning-based Domain Adaptation Method for Identifying Peripheral Arterial Disease Locations under Various Severity Levels
Prognostics and Health Management for Humans
dldlscks12@gmail.com
August 2021
A Diagnosis Framework for the Robotic Arm Joint with Strain Wave Gearing based on Ordinal Pattern Analysis
dkeaster92@snu.ac.kr
February 2021
Deep Learning Approach for Motor Diagnosis Using Bayesian Based Class Weight Optimization
tkwk306@snu.ac.kr
MakinaRocks Inc.
Study of Interpretable AI based Bearing Fault Frequency Estimation Utilizing Generated Signal
cjh0279whdgus@naver.com
Hyundai Motors
Deep Neural Network based Disease Severity Regression for Diagnosis of Abdominal Aortic Aneurysm
yelloweel@naver.com
Ph.D. Student in HAI Lab
August 2020
Motion-Adaptive Few-Shot Fault Detection Method of Industrial Robot Gearboxes via Residual Convolutional Neural Network
oyt9306@gmail.com
Ph.D. Student at Seoul National University
Homepage
A Weighted Residual Rényi Information (WRRI) for Detecting Fault Feature of Motor and Gearbox in Linear Time-Frequency Representation
mbyun1420@gmail.com
February 2020
An Automated Interpretable Deep Learning (AutoIDL) Framework Development for Prognostics and Health Management (PHM)
hyeonbae.kong@riiid.co
Riiid! Inc.
Estimated Disturbance Decomposition Based Fault Detection for Inter-Turn Short-Circuit Fault in PMSM
ahn0718@snu.ac.kr
School of Law at Seoul National University
August 2019
Minimization of Multi-Axis Interference for Fault Detection of Industrial Robots Based on Blind Sources Separation
Prognostics and Health Management for Gearboxes in Industrial Robots
haoyuan951108@hotmail.com
Huawei Device Co., Ltd.
