A three-layer Self-ONN classifies induction-motor faults from thermal images with accuracy comparable to much larger CNN models and far fewer parameters.
Unraveling induction motor state through thermal imaging and edge processing: A step towards explainable fault diagnosis,
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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.