Joo-Ho Choi

Korea Aerospace University

South Korea

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Articles (18)

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2025

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2024

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2024

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2024

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (5)

Nam Kim

Professor

University of Florida

UNITED STATES

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Hyung Jun Park

Korea Aerospace University

SOUTH KOREA

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Seokgoo Kim

Korea Aerospace University

SOUTH KOREA

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Jongwhoa Na

Korea Aerospace University

SOUTH KOREA

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Dooyoul Lee

SOUTH KOREA

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Joo-Ho Choi

Research Interests

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Articles (18)

Reinforced symbolic learning with logical constraints for predicting turbine blade fatigue life

A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors

A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency

Sensor set optimization by functional model and Bayesian network for fault diagnosis of turbine generator lubrication system

Co-Estimating State of Charge and Capacity of Automotive Lithium-Ion Batteries Under Deep Degradation Using Multiple Estimators

A robust health prediction using Bayesian approach guided by physical constraints

Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life

A Novel Kalman Filter-Based Prognostics Framework for Performance Degradation of Quadcopter Motors

System-Level Fault Diagnosis for an Industrial Wafer Transfer Robot with Multi-Component Failure Modes

State-of-Charge Estimation of Batteries for Hybrid Urban Air Mobility

A Trade-Off Analysis between Sensor Quality and Data Intervals for Prognostics Performance

Inspection Interval Optimization for Aircraft Composite Tail Wing Structure Using Numerical-Analysis-Based Approach

A Robust Health Indicator for Rotating Machinery Under Time-Varying Operating Conditions

Challenges and Opportunities of System-Level Prognostics

Machine Health Assessment Based on an Anomaly Indicator Using a Generative Adversarial Network

A Novel Prognostics Approach Using Shifting Kernel Particle Filter of Li-Ion Batteries Under State Changes

A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches

Feature extraction for bearing prognostics using weighted correlation of fault frequencies over cycles

Collaborators (5)

Nam Kim

Hyung Jun Park

Seokgoo Kim

Jongwhoa Na

Dooyoul Lee

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