6 citations · 6 across the 4 of their papers we have counts for
4 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…