A Comparative Study of Fault Diagnosis for Train Door System: Traditional versus Deep Learning Approaches. - Seokju Ham; Seok-Youn Han; Seokgoo Kim; Hyung Jun Park; Kee-Jun Park; Jooho Choi (Sensors, 2019)

Information Value-Based Fault Diagnosis of Train Door System under Multiple Operating Conditions. - Seokgoo Kim; Nam Ho Kim; Jooho Choi (Sensors, 2020)

A Study Toward Appropriate Architecture of System-Level Prognostics: Physics-Based and Data-Driven Approaches. - Seokgoo Kim; Nam Ho Kim; Jooho Choi (IEEE Access, 2021)

Challenges and Opportunities of System-Level Prognostics. - Seokgoo Kim; Jooho Choi; Nam Ho Kim (Sensors, 2021)

A Novel Prognostics Approach Using Shifting Kernel Particle Filter of Li-Ion Batteries Under State Changes. - Seokgoo Kim; Hyung Jun Park; Jooho Choi; Daeil Kwon (IEEE Trans. Ind. Electron., 2021)

A Robust Health Indicator for Rotating Machinery Under Time-Varying Operating Conditions. - Seokgoo Kim; Hyung Jun Park; Yun-Ho Seo; Jooho Choi (IEEE Access, 2022)

Inspection schedule for prognostics with uncertainty management. - Seokgoo Kim; Jooho Choi; Nam Ho Kim (Reliab. Eng. Syst. Saf., 2022)

Construction of bearing health indicator under time-varying operating conditions based on Isolation Forest. - Jinwoo Sim; Jinhong Min; Seokgoo Kim; Seok Woo Lee; Jooho Choi (Eng. Appl. Artif. Intell., 2023)