Condition monitoring of permanent magnet AC machines for all‐electric transportation systems: State of the art

A Usman, BS Rajpurohit - IET Energy Systems Integration, 2024 - Wiley Online Library
The current state of the art on emerging and efficient techniques for condition monitoring of
permanent magnet (PM) alternating‐current (AC) machines deployed in electric vehicle (EV) …

Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach

JH Lee, CN Okwuosa, JW Hur - Inventions, 2023 - mdpi.com
In industrial settings, gears play a crucial role by assisting various machinery functions such
as speed control, torque manipulation, and altering motion direction. The malfunction or …

[HTML][HTML] A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

JH Lee, CN Okwuosa, BC Shin, JW Hur - Journal of Sensor and Actuator …, 2024 - mdpi.com
The optimal functionality and dependability of mechanical systems are important for the
sustained productivity and operational reliability of industrial machinery, and have a direct …

Health monitoring and fault analysis of induction motors: a review

R Kumar, RS Anand - Engineering Research Express, 2024 - iopscience.iop.org
Induction motors are in high demand for industrial applications due to their reliable and
efficient performance compared to other electrical motors. Therefore, the implementation of a …

A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment

S Lee, AB Kareem, JW Hur - Electronics, 2024 - mdpi.com
Speed reducers (SR) and electric motors are crucial in modern manufacturing, especially
within adhesive coating equipment. The electric motor mainly transforms electrical power …

Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

D Domingo, AB Kareem, CN Okwuosa, PM Custodio… - Electronics, 2024 - mdpi.com
The role of transformers in power distribution is crucial, as their reliable operation is
essential for maintaining the electrical grid's stability. Single-phase transformers are highly …

A Hybrid Feature Selection Based Machine Learning Model for Detection of Motor Faults

R Jigyasu, R Kumar, S Singh - 2024 7th International …, 2024 - ieeexplore.ieee.org
As the induction machine is the most used machine in industries, their regular health check-
up is important for the life of the motor and from an economic perspective also. The objective …

Prediction of Shaft Bend Variation in Synchronous Motor Using Modulated Lapped Transform and Support Vector Regression

VP Kolanchinathan, S Selvi, PK Mani… - … On Emerging Trends In …, 2024 - Springer
Abstract The combination of Support Vector Regression (SVR) and Modulated Lapped
Transform (MLT) methods, offers a novel method for forecasting shaft bend variation in …

[PDF][PDF] Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

D Domingo, AB Kareem, CN Okwuosa, PM Custodio… - 2024 - preprints.org
To enhance the overall reliability of the power system, engineers have redirected their focus
toward health monitoring and early detection of faults in transformers. Among these faults …

[PDF][PDF] Spectral-Based Fault Diagnosis Methodology for Industrial Shot Blast Machinery Leveraging XGBoost and Feature Importance

JH Lee, CN Okwuosa, BC Shin, JW Hur - 2024 - preprints.org
The optimal functionality and dependability of mechanical systems are important for the
sustained productivity and operational reliability of industrial machinery which has direct …