A three-layer Self-ONN classifies induction-motor faults from thermal images with accuracy comparable to much larger CNN models and far fewer parameters.
Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks,
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Thermal Image-based Fault Diagnosis in Induction Machines via Self-Organized Operational Neural Networks
A three-layer Self-ONN classifies induction-motor faults from thermal images with accuracy comparable to much larger CNN models and far fewer parameters.