Jin Uk Ko

A Domain Adaptation with Semantic Clustering (DASC) method for fault diagnosis of rotating machinery

Myungyon Kim, Jin Uk Ko, Jin‐Wook Lee et al. · ISA Transactions · 2021 · 64 citations

Fault Diagnosis, Semantic Clustering, Engineering +12

A new auto-encoder-based dynamic threshold to reduce false alarm rate for anomaly detection of steam turbines

Jin Uk Ko, Kyumin Na, Joon-Seok Oh et al. · Expert Systems with Applications · 2021 · 64 citations

Condition Monitoring, Anomaly Detection, Engineering +8

Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery

Jin‐Wook Lee, Myungyon Kim, Jin Uk Ko et al. · Reliability Engineering & System Safety · 2021 · 63 citations

Fault Diagnosis, Condition Monitoring, Intelligent Fault Diagnosis +6

Direct Connection-Based Convolutional Neural Network (DC-CNN) for Fault Diagnosis of Rotor Systems

Myungyon Kim, Joon Ha Jung, Jin Uk Ko et al. · IEEE Access · 2020 · 37 citations · Full text

Fault Diagnosis, Convolutional Neural Network, Engineering +16

Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis

Jin Uk Ko, Joon Ha Jung, Myungyon Kim et al. · Computers in Industry · 2020 · 37 citations

Fault Diagnosis, Condition Monitoring, Engineering +10