Jang-Wook Hur

12 papers B 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Hybrid IoT-Based Framework for Real-Time Parameter Estimation and Predictive Maintenance in Hydraulic Excavators.
IEEE Internet Things J.
Akeem Bayo Kareem, Daryl Domingo, Jang-Wook Hur
2025 — conf
Enhancing Induction Motor Reliability Through Advanced Feature Selection and Diagnostic Models in Low-Load Conditions.
ICAIIC
Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
2025 B conf
MODL-CM: Metaheuristic-Optimized Deep Learning Frameworks for IoT-Based Condition Monitoring.
ICCCN
Akeem Bayo Kareem, Jang-Wook Hur
2024 J jnl
A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance.
J. Sens. Actuator Networks
Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek-Cheon Shin, Jang-Wook Hur
2024 J jnl
Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps.
J. Sens. Actuator Networks
Dong-Yun Kim, Akeem Bayo Kareem, Daryl Domingo, Baek-Cheon Shin, Jang-Wook Hur
2023 J jnl
An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning.
IEEE Access
Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
2023 J jnl
LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS).
Sensors
Jae Seok Do, Akeem Bayo Kareem, Jang-Wook Hur
2022 J jnl
A Cost-Efficient MCSA-Based Fault Diagnostic Framework for SCIM at Low-Load Conditions.
Algorithms
Chibuzo Nwabufo Okwuosa, Ugochukwu Ejike Akpudo, Jang-Wook Hur
2022 J jnl
Correlation Coefficient Based Optimal Vibration Sensor Placement and Number.
Sensors
Geon-Ho Shin, Jang-Wook Hur
2022 J jnl
Exploring the Efficiencies of Spectral Isolation for Intelligent Wear Monitoring of Micro Drill Bit Automatic Regrinding In-Line Systems.
Algorithms
Ugochukwu Ejike Akpudo, Jang-Wook Hur
2021 J jnl
ANN Assisted Multi Sensor Information Fusion for BLDC Motor Fault Diagnosis.
IEEE Access
Tanvir Alam Shifat, Jang-Wook Hur
2020 — conf
Intelligent Solenoid Pump Fault Detection based on MFCC Features, LLE and SVM
ICAIIC
Ugochukwu Ejike Akpudo, Jang-Wook Hur