A lightweight deep learning framework for motor fault diagnosis using time-frequency current signatures
Published online on April 18, 2026
Abstract
Measurement and Control, Ahead of Print.
This study proposes a motor fault diagnosis method that uses the measurement and analysis of alternating current (AC) signals. This approach enables assessment of motor operational health by classifying it as either normal or exhibiting one of three ...
This study proposes a motor fault diagnosis method that uses the measurement and analysis of alternating current (AC) signals. This approach enables assessment of motor operational health by classifying it as either normal or exhibiting one of three ...