H. Park

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

N. Kim, Jooho Choi, H. Park, 2022, Sensors.

A Tutorial for Feature Engineering in the Prognostics and Health Management of Gears and Bearings

Joo-Ho Choi, Seokgoo Kim, Hyung Jun Park, 2020 .

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

Seok-Youn Han, Joo-Ho Choi, Seokju Ham, 2021, International Journal of Precision Engineering and Manufacturing.

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

Seokgoo Kim, Hyung Jun Park, Joo-Ho Choi, 2021, IEEE Transactions on Industrial Electronics.

Application of artificial neural networks using sequential prediction approach in indoor airflow prediction

Minho Kim, H. Park, 2023, Journal of Building Engineering.

A Comparative Study of Fault Diagnosis for Train Door System: Traditional versus Deep Learning Approaches

Seok-Youn Han, Seokju Ham, Seokgoo Kim, 2019, Sensors.

A robust health prediction using Bayesian approach guided by physical constraints

N. Kim, H. Park, Joo-Ho Choi, 2024, Reliability Engineering & System Safety.

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

H. Park, Joo-Ho Choi, Dongwoo Lee, 2024, IEEE Transactions on Instrumentation and Measurement.

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

Hyung Jun Park, Yun-Ho Seo, Seokgoo Kim, 2022, IEEE Access.