Physical variable measurement techniques for fault detection in electric motors

S Aguayo-Tapia, G Avalos-Almazan… - Energies, 2023 - mdpi.com
Induction motors are widely used worldwide for domestic and industrial applications. Fault
detection and classification techniques based on signal analysis have increased in …

Advanced fault detection technique of three phase induction motor: Comprehensive review

BH Bahgat, EA Elhay, MM Elkholy - Discover Electronics, 2024 - Springer
Delving into fault diagnosis techniques for electrical machines, this comprehensive review
focuses on three-phase induction motors. It covers various fault types including eccentricity …

Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis

A Afia, F Gougam, W Touzout, C Rahmoune… - Journal of the Brazilian …, 2023 - Springer
Vibration analysis has been extensively exploited for bearing fault diagnosis. However,
signal acquisition is quite expensive since external hardware is required. Moreover, for …

A filter-based feature-engineering-assisted SVC fault classification for SCIM at minor-load conditions

CN Okwuosa, J Hur - Energies, 2022 - mdpi.com
In most manufacturing industries, squirrel cage induction motors (SCIMs) are essential due
to their robust nature, high torque generation, and low maintenance costs, so their failure …

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 …

An intelligent hybrid feature selection approach for SCIM inter-turn fault classification at minor load conditions using supervised learning

CN Okwuosa, JW Hur - IEEE Access, 2023 - ieeexplore.ieee.org
In industries, squirrel cage induction motors are crucial for supplying rotary motion in power
tools. This research presents a robust but simple framework for an inter-turn fault …

[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 …

[PDF][PDF] Revolutionizing motor maintenance: a comprehensive survey of state-of-the-art fault detection in three-phase induction motors

BH Bahgat, EА Elhay, T Sutikno… - International Journal of …, 2024 - academia.edu
This comprehensive review delves into electrical machine fault diagnosis techniques, with a
particular emphasis on three-phase induction motors. It covers a variety of faults, including …

Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis

P Mercorelli - Sensors, 2024 - mdpi.com
Fault-finding diagnostics is a model-driven approach that identifies a system's
malfunctioning portion. It uses residual generators to identify faults, and various methods like …

A Knowledge Discovery Process Extended to Experimental Data for the Identification of Motor Misalignment Patterns

S Bold, S Urschel - Machines, 2023 - mdpi.com
The diagnosis of misalignment plays a crucial role in the area of maintenance and repair
since misalignment can lead to expensive downtime. To address this issue, several …