3 papers
eess.SP2025
Multi-output Classification using a Cross-talk Architecture for Compound Fault Diagnosis of Motors in Partially Labeled Condition
Wonjun Yi, Wonho Jung, Hyeonuk Nam +2
The increasing complexity of rotating machinery and the diversity of operating conditions, such as rotating speed and varying torques, have amplified the challenges in fault diagno…
cs.LG2025
Multi-output Classification Framework and Frequency Layer Normalization for Compound Fault Diagnosis in Motor
Wonjun Yi, Yong-Hwa Park
This work introduces a multi-output classification (MOC) framework designed for domain adaptation in fault diagnosis, particularly under partially labeled (PL) target domain scenar…
cs.LG2025
Multi-output Classification for Compound Fault Diagnosis in Motor under Partially Labeled Target Domain
Wonjun Yi, Yong-Hwa Park
This study presents a novel multi-output classification (MOC) framework designed for domain adaptation in fault diagnosis, addressing challenges posed by partially labeled (PL) tar…