ScholarWorks@Hanyang University: Lee, Tae Hee

Detailed Information

Lee, Tae Hee (이태희)

COLLEGE OF ENGINEERING (DEPARTMENT OF AUTOMOTIVE ENGINEERING)

Research Area

Tel 02-2220-0449
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ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

Reliabilitybased design optimization:8||Kriging surrogate model:7||Reliability analysis:6||Akaike information criterion:6||Design optimization:6||Combat vehicle:6||Mobility:5||Analysis of variance:5||Kriging metamodel:5||Kriging model:5||Reliability Analysis:5||Surrogate model:4||Kriging Surrogate Model:4||Modeling and simulation:4||Piezoelectric energy harvester:4||Reliability Analysis(신뢰성해석):4||Copula:4||Kriging Surrogate Model(크리깅 대체모델):4||Response surface model:3||Correlation Function(상관함수):3||Metamodel:3||Discrete Information(이산정보):3||Robust design optimization:3||Kriging Model(크리깅모델):3||Akaike Information Criterion:3||RBDO:3||Taguchi robust design:3||reliability:3||S):3||Reliability analysis(신뢰성 해석):3||torque:2||Reliability Analysis(신뢰성  해석):2||Akaike Information Criterion(AIC: Akaike 정보척도):2||Adaptive cruise control:2||ClarionClipperton fracture zone:2||Finite Mixture Model:2||Input variable selection:2||Deepoceanmining vehicle system:2||kriging model:2||Integrated performance:2||Multiple Response System(다중 응답 시스템):2||Akaike Information Criterion(아카이케  정보척도):2||Target stiffness allocation:2||Multiple responses approach:2||manufacturing tolerance:2||Adaptive Cruise Control(적응형 순항 제어):2||Analysis of Variance:2||Multiplicative decomposition method:2||Deepsea manganese nodule miner:2||Representative CrossValidation Approach(대표점 교차검증):2||Neighborhood Component Feature Selection(이웃성분 특징 선택):2||Analysis of Variance (분산분석):2||Maximin distance design:2||Roadcompatible device:2||Nonlinear tire model(비선형 타이어 모델):2||Robust optimization:2||Maximum Entropy Experimental Design(최대엔트로피 실험계획):2||Maximum Entropy Principle(최대엔트로피법칙):2||Joint probability density function:2||Uncertainty analysis:2||multidisciplinary design optimization:2||Variable Screening(변수 선별):2||KolmogorovSmirnov test:2||Analytical target cascading:2||Optimization:2||Kriging Metamodel:2||Fuel Efficiency(연비):2||Bimodal Distribution:2||Maximum likelihood estimation:2||Combat  vehicle:2||parameter estimation:2||Ocean mining system:2||permanent magnet motors:2||Copula(코플라):2||product quality:2||Metamodelbased design optimization:2||Wireless sensor network:2||Pilot mining robot:2||robust design optimization:2||Kriging(크리깅):2||Design of Experiment(실험계획법):2||Lane keeping(차선유지):2||Small sample size:2||s algorithm:2||Candidate Point(후보점):2||Powertrain:2||Design of experiment:2||Space Filling Design(충진실험계획):2||sensitivity analysis:2||Space filling design:2||Modeling and simulation (M&:2||Akaike Information Criterion(AIC:  아카이케정보척도):2||Monte Carlo Simulation(MCS:  몬테카를로  시뮬레이션):2||Complex structure:2||CrossValidation Approach(교차검증 실험계획):2||Multidisciplinary design optimization (MDO):2||Dijkstra&apos:2||Reinforcing member:2||synchronous motors:2||Structure reinforcement:2||Inwheel drive system:2||EMF characteristic analysis:1||Efficiency:1||Efficient bootstrap simulation:1||Elastic Net:1||Elastic net:1||Electric power steering (EPS) motor:1||Electric vehicles:1||Electrical contact resistance:1||Electrical damage to inverter system:1||Electromagnetic devices:1||Electromotive force:1||Engine cradle:1||Engine cradle (엔진크래들):1||Error minimization:1||Exterior ballistics:1||Extrapolation(외삽):1||Extreme events:1||Ftest (F검정):1||FEM:1||FORM:1||FORM(1차 신뢰도법):1||Feasible Domain Sampling:1||Feasibleimproved weight allocation:1||Feature Selectrion:1||Finite Element Analysis(유한요소해석):1||Finite Mixture Model(유한 혼합모델):1||Fire power model:1||Firepower:1||Firing  power:1||Firing accuracy:1||Firing accuracy evaluation:1||Forging:1||Fuel Efficiency:1||Fuel efficiency:1||Full  vehicle  model:1||Functional Requirements:1||Generalized Pareto Distribution:1||Generalized Pareto Distribution(일반화  파레토  분포):1||Generalized Pareto distribution:1||Genetic algorithm:1||Global optimization technique:1||Grouped data (집단화된 데이터):1||Harmonic analysis:1||HighDimensional Input Variables:1||Highdimensional:1||Hybrid electric vehicles:1||Hydropneumatic suspension:1||IPMSM:1||Image classification and generation:1||Inaccessible area:1||Independence Axiom:1||Infeasible Initial Points(불용 초기점):1||Information criterion:1||Initial Design Problem(초기 설계문제):1||Integrated interface:1||Intelligent robotic grasping:1||Interpolation model:1||Inverse tire model(역 타이어 모델):1||Joint Probability Density Function:1||Joint cumulative distribution function(결합누적분포함수):1||Joint distribution function(결합분포함수):1||Kriging  model:1||Kriging Metamodel(크리깅  메타모델):1||Kriging Metamodel(크리깅 메타모델):1||Kriging Model(크리깅 모델):1||Kriging Surrogate Model(크리깅  근사모델):1||Kriging model (크리깅  모델):1||Kriging model(크리깅모델):1||Kriging surrogate model(크리깅  대체모델):1||Kriging surrogate model(크리깅 대체모델):1||LED indicator:1||Lateral tire force(타이어 횡력):1||Limited data:1||Limited discrete information:1||Lithiumion battery:1||Lorentz force:1||Lower control arm(로어컨트롤암):1||MD method:1||MLE: 최우량추정법:1||MMLS3:1||Machine Learning(기계학습):1||Maganese pickup device(망간단괴  채집장치):1||Magnetic field:1||Magnetization:1||Magnetizing fixture:1||Manganese nodule:1||Manganese nodule pilot miner:1||Manufacturing constraint:1||Manufacturing tolerance:1||Manufacturing uncertainty:1||Maple(메이플):1||Maximin Distance Design:1||Maximin Distance Design(최소거리 최대화법):1||Maximum Entropy Principle:1||Maximum Likelihood Estimation:1||Maximum Likelihood Estimation(MLE:  최우량추정법):1||Maximum Likelihood Estimation(MLE: 최우량추정법):1||Maximum Likelihood Estimation(MLE:최우량추정):1||Maximum Likelihood Estimation(최우량추정):1||Maximum Likelihood Estimation(최우량추정법):1||Maximum likelihood estimation (최대 우량 추정):1||Maximum likelihood estimation(MLE):1||Maximum likelihood estimation(최우량추정):1||Maximum likelihood function(최우량함수):1||Maze algorithm:1||Mean Square Error(평균제곱오차):1||Mechanical damage to electric traction motor:1||Metamodel validation:1||Metamodel(메타모델):1||MineRo (미내로):1||Minimal spanning tree:1||Mode Tracking(모드추적):1||Mode tracking:1||Model predictive control(MPC:1||Model predictive control(MPC, 모델예측제어):1||Model selection:1||Modeling  and  simulation:1||Modeling  and  simulation  (M&:1||Monte Carlo Simulation:1||Monte Carlo simulation(몬테가를로 시뮬레이션):1||Monte carlo simulation:1||MultiVariable Kriging Metamodel(다변수  크리깅  메타모델):1||Multileaf Spring(판스프링):1||Multiobjective design optimization:1||Multiresponse system:1||Multidisciplinary  design  optimization:1||Multidisciplinary Design Optimization(다분야 통합 최적설계):1||Multidisciplinary design optimization:1||Multidisciplinary optimization:1||Multimodal distribution(다봉분포):1||Multinomial distribution (다항 분포):1||Multiple Response System:1||Multiple Responses Approach(다중응답접근법):1||Multiplicative Decomposition Method:1||Multiplicative Decomposition Method(곱분해기법):1||Multivariate Analysis of Variance (다변량 분산분석):1||Noise random variables (NRVs):1||Nongradient optimization:1||Nonparametric Neighborhood Component Feature Selection:1||Nonparametric approach:1||Nonparametric estimation:1||Normalized neighborhood component feature selection:1||Optimal design:1||Optimal routing design:1||Optimization design:1||Optimum Design:1||PZTbased Piezoelectric Cantilever Beam:1||PZTbased piezoelectric cantilever beam:1||Parametric design:1||Particle swarm optimization(입자 군집 최적화):1||Pavement engineering:1||Pearson System(피어슨 시스템):1||Pearson system:1||Pearson type IV distribution:1||PenaltyLagrange multiplier:1||Penetrative projectile:1||Permanent Magnet Synchronous motor (PMSM):1||Pickup device:1||Piezoelectric:1||Piezoelectric energy harvesting:1||Pilot  Miner  System(집광로봇 시스템):1||Pilot mining robot(파일럿  채광로봇):1||Pipe routing algorithm:1||Pipe routing design(배관 경로 설계):1||PooleFrenkel effect:1||Power cable:1||Power factor:1||Prediction Evaluation (예측성 평가):1||Pressure Vessel:1||Probability density function(확률 밀도 함수):1||Probability distribution:1||Projective property:1||Prototypes:1||RBDO(신뢰성기반  최적설계):1||ROS(Robot operating system) 로봇운용시스템:1||Reactive material:1||Regression model:1||Regularization(정규화):1||Reliability  Analysis:1||Reliability Analysis(신뢰성 해석):1||Reliability analysis (RA):1||Reliability analysis (신뢰성 해석):1||Reliability analysis (신뢰성해석):1||Reliability based design optimization:1||Reliability based design optimization(신뢰성 기반 최적설계):1||Reliability block diagram (RBD):1||Reliability error:1||ReliabilityBased Design Optimization(신뢰성기반  최적설계):1||Reliabilitybased Design Optimization(신뢰성  기반  최적설계):1||Reliabilitybased Design Optimization(신뢰성기반최적설계):1||Reliabilitybased design optimization (RBDO):1||Reliabilitybased design optimization (신뢰성  기반  최적설계):1||Reliabilitybased design optimization(신뢰성 기반 최적설계):1||Reliabilitybased designoptimization(신뢰성 기반 최적설계):1||Response surface model (RSM):1||Riding quality:1||Road energy harvester:1||Robust Design Optimization:1||Robust optimization of fire power:1||Robust performance:1||Robust target cascading:1||Robustness:1||Routing design methodology:1||SPM Motor(SPM 전동기):1||Sampling Uncertainty:1||Sampling uncertainty:1||Scenariobased multidisciplinary optimization:1||Screening (스크리닝):1||Screening Measure:1||Screening technique:1||Seafloor manganese nodules:1||Selection measure:1||Selfgenerated device:1||Selfpowered Piezoelectric sensor:1||Sensitivity:1||Sensitivity analysis:1||Sensitivity(민감도):1||Sensor:1||Sequential Design of Experiment:1||Sequential Kriging Metamodel(순차적 크리깅 메타모델):1||Sequential Sampling:1||Sequential design:1||Sequential kriging metamodel:1||Shear strength of seafloor sediment:1||Shot group:1||Sign test:1||Significance Analysis:1||Significance analysis:1||Significance measure:1||Simulation model:1||Smart highway:1||Space Filling Design:1||Space Filling Design(충진실험):1||Split Region Kriging model(분할영역 크리깅모델):1||Statistical criterion:1||Statistical global optimization:1||Statistical model calibration:1||Statistical spacetime metamodel:1||Stators:1||Stiffness analysis:1||Stochastic global optimization:1||Structural Analysis(구조해석):1||Structural analysis 구조해석:1||Structural health monitoring system:1||Structure optimization:1||Superconducting magnetic energy storage system:1||Surfacemounted PMSM:1||Surfacemounted permanent magnet synchronous motor:1||Surrogate model(근사 모델):1||Symbolic Computation:1||Symbolic Computation(기호연산):1||Symbolic computation:1||System Reliability Analysis:1||System optimization:1||System reliability analysis (시스템 신뢰성 해석):1||Taguchi design:1||Taguchi method:1||Taguchi methods:1||Tail Model:1||Tail Model(꼬리  모형):1||Target Stiffness Allocation:1||Tchebycheff method:1||Temperature monitoring:1||Temperature sensor:1||Test miner:1||Threeterm conjugate gradient:1||Threshold:1||Threshold(임계점):1||Tolerance Information (공차  정보):1||Tolerance design(공차설계):1||Tolerance information:1||Topology optimization:1||Torque:1||Torque Ripple(토크 리플):1||Torque pulsation:1||Triple threephase:1||Type 1 error (1종 오류):1||UTM:1||Ultrahigh speed elevator:1||Uncertainty:1||Uncertainty identification:1||Uncertainty of design parameter:1||Uncertainty of firing period:1||Uncertainty of reliability:1||Uncertainty quantification:1||Uncertaintybased  Multidisciplinary  Design  Optimization(불확실성 기반 다분야 통합 최적설계):1||Uncertaintybased multidisciplinary design optimization:1||Underwater Connector:1||Underwater robot 수중로봇:1||Validation:1||Validation(검증):1||Variable Screening:1||Variable Uncertainty (변동  불확실성):1||Variable step size:1||Variable uncertainty:1||Vehicle component(차체부품):1||Vehicle model:1||Vibration:1||Wheeled military vehicle:1||Wire routing:1||abrasion arthroplasty:1||approximation:1||automatic design system:1||back electromotive force:1||bodyinwhite:1||combat vehicle:1||commercial truck:1||component:1||constraint boundary sampling:1||contact force:1||deepsea ocean mining collector:1||design engineering:1||design optimization:1||driving performance:1||dry wall:1||ecofriendly stud:1||efficient uncertainty identification method:1||electric potential:1||electrical signal:1||electromagnetic devices:1||electromechanical devices:1||electromotive force:1||electron traps:1||energy management:1||engine cradle:1||expanding process:1||fatigue analysis:1||finite element analysis:1||finite element method:1||firing performance:1||fuel efficiency:1||gasoil emulsion:1||genetic algorithm:1||harvester:1||heavyduty vehicle:1||heavyduty vehicles:1||hole traps:1||inwheel motor system:1||industrial electromagnetic device:1||interior PM synchronous motor:1||interior permanent magnet synchronous motor:1||kernel density estimation (KDE):1||kriging metamodel:1||kriging surrogate model:1||leakage currents:1||lithium iron phosphate battery:1||machine production:1||manufacturable design:1||manufacturing process:1||manufacturing tolerances:1||manufacturing uncertainties:1||mass production:1||mass production model:1||maximum Likelihood Estimation(MLE:최우량추정법):1||maximum likelihood estimation:1||metamodel:1||metamodelbased RBDO:1||metamodelbased design optimization:1||metamodeling:1||microfracture:1||mobility performance:1||model calibration:1||model selection:1||motor response:1||multiobjective optimisation:1||multiphysics:1||multiresponse signaltonoise ratio (MRSN):1||multilayers:1||nanoparticles:1||normal distribution:1||normal distributions:1||optimal design:1||optimal statistical parameters:1||optimisation:1||optimization methods:1||optimum design model:1||orthogonal array:1||patterned vertically aligned mode:1||pearson system:1||percentile bootstrap interval:1||permanent magnet (PM) motors:1||piezoelectric device:1||piezoelectric energy harvester:1||piezoelectric energy harvesting:1||probabilistic design optimisation techniques:1||product design:1||randomaccess storage:1||reliability analysis:1||reliabilitybased design optimization:1||resistor design:1||response surface model:1||robotic actuator:1||robust design optimisation:1||robust optimisation method:1||robust optimization:1||robust reliabilitybased design optimisation:1||roll forming:1||routing algorithm:1||routing layout design:1||sampling methods:1||segmented stator:1||semianalytical method:1||semiconductor quantum dots:1||series hybrid electric vehicle:1||side roll type:1||signal fault:1||silicon compounds:1||single cell gap:1||spacefilling sampling:1||statistical analysis:1||statistical model:1||stress constraint:1||subchondral bone:1||surfacemounted permanent magnet synchronous motor:1||surrogate model:1||surrogate modeling:1||tolerance analysis:1||tolerance guide:1||topology optimization:1||trabecular bone:1||tracked vehicle:1||transflective LCD:1||uncertainty:1||uncertainty characterization:1||variable uncertainty:1||vehicle occupant:1||vehicle sensor connector:1||wide band gap semiconductors:1||wide viewing:1||wireless communication:1||강건 최적설계, 심해저 채광 차량, 곱분해기법, 크리깅 메타모델, Deepsea ocean mining vehicle:1||곱분해기법:1||과거 정보를 이용한 학습 (learning using historical data):1||근사모델:1||내충격성(Impact resistance):1||다중목적 최적설계(Multiobjective Optimization):1||다중성능(Multiple Responses):1||모델예측제어):1||민감도, 검증법, 순차적 크리깅 메타모델, 용접 대차, Bogie frame:1||바이모달 분포:1||반응성 구조재(Reactive material structure):1||변동 불확실성, 공차정보, 아카이케 정보척도, 신뢰성 기반 최적설계, 엔진크래들, Akaike information criterion:1||변수 선별(Variable screening):1||변형률 속도 효과(Strain rate effect):1||부트스트랩 리샘플링(Bootstrap resampling):1||부트스트랩 신뢰구간(Bootstrap confidence intervals):1||분산분석(Analysis of Variance):1||비구속 최적화 (unconstrained optimization):1||생산 제한조건(Manufacturing constraint):1||순차적 근사 신뢰성 해석(Sequential approximate reliability analysis):1||순차적 근사 최적화(Sequential approximate optimization):1||순차적 실험계획:1||신뢰성 기반 최적설계:1||신뢰성 기반 최적설계(Reliabilitybased design optimization):1||신뢰성 해석:1||신뢰성기반 최적설계 이 키워드로 연구동향 분석 이 키워드로 논문 검색 , 모드추적, 다중응답접근법, 크리깅 메타모델, Kriging metamodel:1||신뢰성기반 최적설계, 신뢰성해석, 크리깅모델, 피어슨 시스템, 피어슨 타입 IV 분포, Kriging model:1||신뢰성해석:1||위상최적화(Topology optimization):1||유동해석, 항력계수, 파라미터 설계, 강성해석, Aerodynamic analysis:1||유용영역 실험계획:1||유한 혼합 모델:1||인공벌군집 알고리즘(Artificial bee colony algorithm):1||입력변수 스크리닝(InputVariable Screening):1||전역 최적해(Global optimum):1||주성분분석(Principal Component Analysis):1||주축(Principal Axis):1||켤레 기울기법 (conjugate gradient method):1||크리깅메타모델:1||크리깅모델:1||특징 선택(Feature selection):1||3D vehicle model:1||피어슨 시스템:1||7function manipulator 7관절 로봇팔:1||AIC: Akaike 정보척도, MLE: 최우량추정법, 신뢰성해석, 신뢰성 기반 최적설계, 몬테카를로 시뮬레이션, 대차 틀, Akaike information criterion:1||AIC: 아카이케정보척도:1||Accelerated life testing:1||Accuracy:1||Adaptive Cruise Control:1||Adaptivesampling method:1||Additive manufacturing:1||Advanced  Bootstrapping:1||Akaike Information Criterion(AIC:아카이케 정보척도):1||Akaike Information Criterion(아카이케정보척도):1||Akaike information criteria:1||Akaike information criterion (아카이케  정보척도):1||Akaike information criterion (아카이케 정보척도):1||Akaike information criterion(아카이케  정보척도):1||Akaike information criterion(아카이케 정보 척도):1||Ammunition:1||Approximate Model:1||Artificial neural networks:1||Assembly imperfection:1||Autonomous:1||Autonomous intervention 자율작업:1||Availability:1||Axiomatic Design:1||Balanced Resampling:1||Bayesian Information Criterion(베이지안 정보 척도):1||Bayesian Information(베이지안 정보):1||Bayesian Reliability Analysis(베이지안 신뢰성 해석):1||Bimodal Distribution(바이모달  분포):1||Bimodal Distribution(바이모달 분포):1||Bimodal distribution(바이모달):1||Bivariate type I interval multiply censored data:1||Bodyinwhite:1||Bogie frame:1||Bogie frame(대차틀):1||Bootstrap  Information  Criteria:1||Bootstrap Information Criteria:1||Bootstrap Method:1||Bootstrap Resampling:1||Bootstrap method:1||Bootstrap resampling:1||C1continuity(1차 미분연속):1||Cartilage:1||Censored akaike information criterion (censored AIC):1||Censored data:1||Coandă effect:1||Coanda effect:1||Coanda effect(코안다  효과):1||Cogging Torque(코깅 토크):1||Cohesive soil:1||Cold gas dynamic spray:1||Collision avoidance(충돌회피):1||Combat Vehicle:1||Combat Vehicle(전투차량):1||Commercial vehicle:1||Commercial vehicle(상용 차량):1||Complex system:1||Complex vehicle system:1||Computer simulation:1||Confidence interval (신뢰구간):1||Consored Data(중도절단자료):1||Constant Time Gap Policy(일정 시간 간격 정책):1||Constrained global optimization:1||Constraint Boundary Sampling:1||Constraint boundary sampling(제한조건경계  샘플링):1||Constraint global optimization:1||Convergency(수렴성):1||Correlation:1||Correlation Coefficient:1||Correlation Coefficient (상관계수):1||Correlation Coefficient(상관  계수):1||Coupled discipline:1||Cross validations:1||DOE(실험계획법):1||Decomposition:1||DeepSea Manganese Nodule Miner:1||Deepsea  Environment(심해저 환경):1||Deepsea Mining Robot:1||Deepsea environmental variable:1||Deepsea manganese nodules:1||Deepsea mining system:1||Deepsea mining tracked vehicle:1||Deepseabed pilot miner system:1||Deepseabed test miner:1||Deepsea manganese nodule miner:1||Design Optimization(최적설계):1||Design Parameters:1||Design of Experiment:1||Design of Experiment(실험 계획법):1||Design of Experiments:1||Design of experiment (DOE):1||Design of experiments:1||Design sensitivity analysis:1||Designtargetbased optimization:1||Discrete  Data(이산화 정보):1||Discrete information(이산정보):1||Distribution fitting:1||DoubleLoop Multiple Responses Approach(이중순환  다중응답접근법):1||Drag coefficient:1||Drive cycle:1||

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