2 papers
eess.SP2026
Fine-Grained Open-Set Fault Diagnosis via Metric-Guided Time-Frequency Configuration Selection and Class-Specific Autoencoders
Youngjae Jeon, Dongjin Lee
Reliable fault diagnosis of rotating machinery is essential for the safe and stable operation of industrial systems. Although deep learning methods perform well under closed-set co…
eess.SY2025
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data
Youngjae Jeon, Eunho Heo, Jinmo Lee +2
This paper proposes a robust method for fault detection and severity estimation in multivariate time-series data to enhance predictive maintenance of mechanical systems. We use the…