6 citations · 6 across the 5 of their papers we have counts for
5 papers
Cross-talk based multi-task learning for fault classification of machine system influenced by multiple variables
Wonjun Yi, Rismaya Kumar Mishra, Yong-Hwa Park
Machine systems inherently generate signals in which fault conditions and various variables influence signals measured from machine system. Although many existing fault classificat…
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…
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…
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…
Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity Levels
Wonjun Yi, Yong-Hwa Park, Wonho Jung
The rise of smart factories has heightened the demand for automated maintenance, and normal-data-based anomaly detection has proved particularly effective in environments where ano…