Fault Diagnosis of Three-Phase Induction Motors Using Convolutional Neural Networks
Bashar E.A. Badr,
Ibrahim Altawil,
Mohammed Almomani
et al.
Abstract:The challenges associated with diagnosing faults in three-phase induction motors necessitate the development of innovative, non-invasive methods that can increase efficiency and reduce costs. This study presents a novel approach to fault detection in these motors, leveraging advanced machine learning technology. The primary focus is the identification of faults related to the stator, including single-phase and three-phase faults, current interruptions, and sudden torque changes. Convolutional Neural Networks (… Show more
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